About Avaya Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections. The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships. We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way. Learn more at https://www.avaya.com. Job Information We are seeking an experienced Software Architect to lead the design and development of modern, scalable, and high-performing contact center digital channels. You will work closely with engineering teams, UX designers, and product stakeholders to build advanced omnichannel experiences in the realm of digital transformation servicing a diverse global user base. Your expertise in backend architecture, digital transformation, messaging, social media integrations, email and chatbots will drive architectural decisions and best practices. Activities Architect and Design: Define and implement the architecture for the integration of messaging, social media and email channels into an advanced contact center solution, ensuring intuitive UX design, scalability, maintainability, and performance. Technology Leadership: Guide teams in best practices backend/API integration, selecting the right tools and frameworks. Modularization & Code Quality: Develop modular, reusable, and maintainable services to accelerate development across multiple teams. Performance Optimization: Use event batching, debounce, and throttling techniques to enhance responsiveness in the digital experience Security & Compliance: Implement security best practices to protect user data and comply with relevant regulations. Collaboration & Mentorship: Work with engineering teams, providing technical leadership, reviewing code, and fostering a culture of innovation. About The Individual You are a talented software architect with a deep understanding of backend and integration (APIs) technologies and a passion for building exceptional omnichannel user experiences. You excel at designing scalable architectures that include advanced chat experiences, chatbots and social channel experiences. You are adept at breaking down complex systems into modular, interoperable components and thrive in environments where real-time communication and customer engagement are paramount. You champion accessibility, performance, and scalability to ensure that digital solutions meet the needs of a diverse, global customer base. Beyond technical expertise, you are an effective communicator who collaborates with software engineers, UX designers, and business stakeholders to align technology with user needs. You stay ahead of industry trends, embrace best practices, and mentor teams to implement the best possible omnichannel digital experience. Required Skills Strong understanding of component-based architecture, micro frontends, and modularization in large-scale applications Strong understanding of REST APIs and the use of WebSockets for real-time data streaming and communication Expertise in event-driven architecture, real-time UI updates, and pub/sub messaging systems. Experience in cloud-native environments with Azure, GCP or AWS Proven experience building, scaling and maintaining high volume systems. Strong problem-solving skills and ability to communicate architectural decisions to technical and non-technical stakeholders Excellent problem-solving skills and ability to adapt in a fast-paced environment Excellent verbal and written communication skills Previous experience in implementation and/or integration of collaboration technologies – messaging, social channels, e-mail, screen sharing, etc. Previous experience in implementation and/or integration of LLM/Chatbot technologies Desirable Experience in application observability, including logging, monitoring, and tracing tools. Experience with CI/CD pipelines, automated testing, and DevOps practices for front-end applications. Why join Us? Work on cutting-edge omnichannel contact center applications impacting millions of users. Collaborate with world-class engineers, designers, and product teams. Influence the technical direction of contact center digital experience architecture at scale. A culture of continuous learning, innovation, and career growth. Experience 12+ Years of Experience Education Bachelor degree or equivalent experience Advance Degree preferred Footer Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location. This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason. You may also review the Avaya Global Privacy Policy (accessible at https://www.avaya.com/en/privacy/policy/) and applicable Privacy Statement relevant to this job posting (accessible at https://www.avaya.com/en/documents/info-applicants.pdf). Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Position Summary... What you'll do... About Team The International Tech data science team at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmarts global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations ; our associates, helping Customers Save Money to Live Better. What You Will Do: As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights What You Will Bring Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Mentor junior data scientists and handle multiple projects at the same time. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Qualifications Bachelors/Masters > 9 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 5 years of relevant experience. Education qualifications should be Computer Science/Statistics/Mathematics or a related area. Ability to lead the data science projects end to end. Experience in leading data science initiatives in customer care and customer growth like Chatbot, Agent Auto Response, Search Engine Optimization, Marketing etc Experience in analyzing complex problems and translating them into analytical solutions. Experience in machine learning: Classification models, regression models, Data/Text Mining, Convex Optimization, Text Retrieval Algorithms Experience in statistical learning: Generalize linear model, Time Series, Dynamic/Causal Model, Statistical Learning Ability to utilize the data science solutions outcomes to drive the predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Ability to scale and deploy the data science solutions. Strong Experience with one or more of Python and R. Experience in Working with GCP/Azure Experience in deep learning and worked in TensorFlow/Torch Experience with GPU/CUDA for computational efficiency About Walmart Global Tech From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmarts scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow. Flexible, Hybrid Work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2106697 Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

The People Advisory Services Lead role with London Stock Exchange Group (LSEG) is an exciting opportunity to be part of a thriving team in a fast-paced global organization. We as part People Function help grow business through empowering People Leaders and colleagues and enable LSEG to attract and nurture diverse talent, build opportunities for people to grow significant careers and operate at their very best. We drive performance by exciting excellence, develop engagement and provide outstanding experience to our colleagues. Role Profile: Reporting to the Employee Services Lead will lead all aspects of the management of automated assistants and similar digital tools for the organization, ensuring flawless employee engagement, query resolution, and service delivery. This role includes managing virtual and live chat agents, improving chatbot capabilities, and driving continuous process improvements and offers the opportunity to work at the intersection of technology and HR, enabling the organization to deliver an outstanding employee experience. Responsibilities: Lead and supervise a team of agents, ensuring high quality delivery and service level agreements. Develop and implement training programs for agents, focusing on HR processes, soft skills and query resolution techniques. Set performance goals, monitor progress and provide feedback and coaching to wider people operations team. Lead and improve the conversational assistant capabilities, ensuring efficient performance and usability, monitor & analyse chatbot interactions to identify trends, gaps and areas for improvements. Collaborate with Technology and Employee Services team to refine Dialogue systems responses growing its knowledge base. Keep abreast of industry advancements in HR tools and implement relevant features to improve service capabilities. Ensure employee queries are addressed accurately and efficiently through digital channels. Establish a robust feedback mechanism to gather employee insights and continuously refine the service experience. Handle user problems and provide solutions to sophisticated issues in a timely manner. Partner with the people operations team to identify areas for streamlining processes and improving service excellence. Collaborate with cross functional teams to integrate new technologies and improve service excellence. Stay updated with advancements in people technology and recommend innovative solutions for employee services. Find opportunities for transformation, implement initiatives to enhance process efficiency, accuracy, and overall employee experience in smart assistant, continuously assess to streamline workflows and improve the efficiency of digital channel support systems. Provide exceptional leadership, coaching, and development opportunities to team members, cultivate a high-performing and engaged workforce through continuous learning and development programs and encourage a culture of collaboration, innovation, and excellence. Qualification and Experience: Bachelor's degree or equivalent experience in related field. 8-10 years of prior experience in people operations, employee services or related domain Proven experience in handling the HR digital tools like virtual/live chat and similar platforms Strong leadership and team management skills Proficiency in ServiceNow or other HR systems is crucial Ability to adapt to new technologies and drive digital transformation initiatives Customer centric attitude with a focus on enhancing employee experience Resourceful and able to optimally navigate through a highly matrixed, global organization. Self-motivated with strong intuition for business. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. About The Role We are seeking a certified Product Owner with a strong background in managing Conversational AI (Chat & Voice) channel experiences (for both customers and employees) within the telecom sector. You'll be at the forefront of integrating AI-driven chat and voice solutions to enhance user experience, reduce response time, and ensure customer satisfaction. You will be part of the team to develop state-of-the-art AI-driven chat and voice solutions that resonate with our user base, align with business objectives, and set the benchmark in the telecom industry. What You’ll Be Doing... Product Ownership: Drive the vision and direction of the product, ensuring alignment with organizational goals and user needs. Backlog Prioritization: Refine and manage the product backlog, ensuring clarity, feasibility, and value in every item, especially those related to Conversational AI. Stakeholder Management: Build and maintain strong relationships with internal and external stakeholders, ensuring their needs are understood and addressed in product development. Customer Centric Conversational experience flow Design: Oversee the design of intuitive and efficient chatbot and voice interactions, ensuring adherence to Chatbot Flow Guidelines & Principles.Understand online shopping behaviors, customer support needs, and telecom trends to inform AI channel strategies. Ensure a seamless and intuitive user journey. Data Analysis: Extract insights from data to inform product decisions, ensuring alignment with market trends and user behavior. Continuous Learning: Stay updated with the latest trends in AI/ML and conversational experience design, applying this knowledge to product enhancements. Partner/Stakeholder Collaboration: Work closely with US partners, cross-functional teams, ensuring effective communication and collaboration throughout the product lifecycle. Visionary Leadership: Define and drive a product vision that aligns with market trends, stakeholder feedback, and organizational objectives, especially in the telecom and e-commerce sectors. AI-Driven Strategy: Collaborate with AI specialists and cross-functional teams to develop and integrate machine learning models that enhance responsiveness, accuracy, and overall user experience.Collaborate with sales and marketing teams to utilize AI channels for promotions, recommendations, and upselling. Performance Monitoring, Feedback and Iteration:Regularly track and analyze AI channel metrics related to user engagement, customer satisfaction, sales conversions, and resolution times. Establish robust systems to gather user feedback and continuously improve the AI channel experience. User Journey Mapping: Define and refine user journeys for shopping via chat and voice interfaces. You’ll Need To Have Bachelor’s degree in Business, IT, or a related field OR six or more years of work experience. Use case development knowledge. Certification in Product Management & In-depth knowledge of all scrum methodologies. Strong understanding of Conversational AI applications & Design experience in Customer facing applications/products. Proactive approach to problem-solving and user experience enhancement. A positive attitude, reliability, and a strong eagerness to learn and upskill Strong analytical skills with an ability to discern business trends. Excellent communication skills, both written and verbal. Even Better If You Have Any Of The Following Experience in the telecom industry, e-commerce, or customer support domains. Proactive approach to problem-solving and user experience enhancement. Demonstrable knowledge of Chatbot Flow Guidelines & Principles. Master’s degree in Computer Science or relevant. Knowledge of industry wide best practices when it comes to customer experience. Ability to give constructive criticism and challenge co-workers to think at their best. Comprehensive understanding of AI/ML technologies and their applications in conversational platforms. #CXONonCDIO Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education Show more Show less

Hiring For AI/ML Intern:- Job Description:- Assist in the development and implementation of machine learning algorithms and models. Participate in data collection, preprocessing, and feature engineering tasks. Collaborate with team members to conduct research and experimentation to improve model performance. Support the deployment of machine learning models into production environments. Perform exploratory data analysis to gain insights and identify trends in the data. Help maintain and optimize existing machine learning pipelines and workflows. Stay up-to-date with the latest developments and trends in artificial intelligence and machine learning. Requirement : B.Tech (Mandatory) Job Location: Indore (Onsite) Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 Job Type: Internship Contract length: 6 months Schedule: Day shift Application Question(s): Immediate Joiner Did you work on Python? Have you completed your B.Tech Degree? (Mandatory) Did you work on Chatbot/TensorFlow/NumPy? Do you live in Indore (M.P.) ? Can you attend the Interview in office? Language: English (Required) Work Location: In person

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Hiring: Meta Expert (Facebook, Instagram & WhatsApp) 📢 🚀 Company: Raj cooling systems pvt.ltd 📍 Location: Rajkot 💼 Experience: 2-3Years Job Role & Requirements: 🔹 Manage and optimize Facebook, Instagram, and WhatsApp campaigns. 🔹 Set up and integrate Meta Business Suite, Ads Manager & API tools. 🔹 Track performance using Meta Insights & Google Analytics. 🔹 Implement Meta Pixel, Conversions API & audience retargeting. 🔹 Automate lead generation and CRM integration. 🔹 Ensure Meta policy compliance and account security. 🔹 Strong knowledge of ads management, audience segmentation & A/B testing. 🔹 Experience with chatbot integration & automation is a plus. 📩 Apply Now! Send your resume to hr@rajcooling.com Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurgaon, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational Linguistics or Engineering. Experience in working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Experience : 3.00 + years Salary : USD 18000-30000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Chatbot Analytics, headless cms, CI/CD, Dialogflow, fastjs, GraphQL, Next.js, oauth, Restful APIs, Firebase, GCP, NLP, TypeScript Steer Health is Looking for: Full stack Developer About The Role We're seeking a passionate and skilled Full Stack Developer with strong experience in Next.js, GraphQL, FastJS, and Dialogflow to join our growing team. In this role, you'll be building scalable web applications and intelligent conversational interfaces that deliver exceptional user experiences. Key Responsibilities Design, develop, test, and maintain robust frontend and backend features using Next.js, GraphQL, and FastJS Integrate Dialogflow conversational flows with backend services and third-party APIs Collaborate closely with UI/UX designers and backend engineers to bring wireframes and APIs to life Optimize performance and ensure a seamless user experience across devices and browsers Write clean, maintainable, and scalable code following industry best practices Participate in code reviews, daily stand-ups, and agile ceremonies Implement and uphold application security and data protection standards Must-Have Skills 3+ years of hands-on experience in full stack web development Deep expertise in Next.js, including SSR, ISR, and API routes Strong working knowledge of GraphQL and FastJS Proven experience with Dialogflow (CX/ES) and backend service integrations Solid understanding of RESTful APIs, Webhooks, and asynchronous data flows Proficient with Git, Docker, and CI/CD pipelines Familiarity with modern authentication methods (OAuth, JWT, etc.) Nice-to-Have Skills Experience with TypeScript Exposure to Cloud Functions, Google Cloud Platform (GCP), or Firebase Familiarity with chatbot analytics and NLP tuning Experience with headless CMS or modern content platforms Benefits Competitive salary and benefits Flexible working hours and remote-friendly culture Opportunities to work with cutting-edge AI and web technologies A supportive, collaborative, and inclusive team environment Continuous learning and career growth opportunities Engagement Model-Direct Contract with client This is remote Role. Shift Timing-10 AM-7 PM IST Interview Rounds 3 rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Description: Conversational Analyst Role Overview We are looking for a Conversational Analyst with 2-3 years of experience in designing and enhancing chat and voice user experiences. This role requires a deep understanding of user context, a strong focus on quality assurance, and a passion for creating impactful conversational solutions. The ideal candidate will play a critical role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment. Over time, the selected candidate will gain exposure to advanced technologies, including Large Language Models (LLMs) , Bhasa Infrastructure , Automatic Speech Recognition (ASR) , and Text-to-Speech (TTS) systems. Key Responsibilities Context Analysis and Problem Solving : Understand user needs, identify issues in existing conversational flows, and propose enhancements to improve the overall user experience. Testing and Validation : Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before they are deployed to production. Collaboration with Data Scientists : Work closely with data scientists to analyze conversational data, identify patterns, and improve conversational AI models and flows. Conversation Flow Optimization : Analyze and refine conversational designs to ensure natural and seamless interactions for both chat and voice-based systems. Data Analysis and Reporting : Use analytics tools to monitor and report on user behavior and feedback, offering actionable insights to improve conversation designs. Learning and Development : Gradually build expertise in advanced conversational AI technologies, including LLMs, ASR, TTS, and the Bhasa infrastructure. Requirements Key Skills and Qualifications 2-3 years of experience working in conversational design, chatbot/voice assistant testing, or a related field. Strong understanding of chat and voice UX principles and best practices. Hands-on experience in testing conversational flows and troubleshooting user interaction issues. Analytical mindset with the ability to interpret user behavior and provide actionable insights. Excellent communication and collaboration skills to work effectively with data scientists and technical teams. Knowledge or exposure to conversational AI tools and platforms (e.g., Dialogflow, Rasa, or similar). Nice-to-Have Skills Familiarity with Large Language Models (LLMs) and their applications. Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). Understanding of the Bhasa infrastructure or similar conversational AI ecosystems. Basic programming or scripting knowledge for prototyping/testing purposes. Benefits What We Offer Opportunity to work on cutting-edge conversational AI projects. Hands-on exposure to advanced technologies like LLMs, ASR, and TTS. Collaborative and innovative work environment. Professional development and upskilling opportunities. Competitive salary and benefits. If you are passionate about building intuitive conversational experiences and are eager to grow with a company that values innovation and data-driven design, we would love to hear from you. Show more Show less

Libromi is a fast-growing AI-first SaaS platform specializing in WhatsApp automation, chatbot solutions, and e-commerce integrations. As an official Meta partner, we serve 2000+ businesses globally and are preparing for an exciting scale-up phase post-GITEX 2025. We’re hiring Sales & Implementation Support Executives to help consult potential clients, guide them through our automation tools, and provide post-sale implementation support. If you're tech-savvy, client-focused, and eager to grow in a startup environment, we’d love to meet you. Key Responsibilities: Engage with inbound leads to understand their business needs and explain how Libromi can help. Provide product demonstrations and onboarding assistance to new customers. Support the implementation of our automation tools and chatbot builder with basic configuration or training. Act as a liaison between customers and the technical team to ensure smooth integration (e.g. Shopify, WooCommerce, API-based tools). Follow up on prospects, nurture relationships, and assist the sales team in closing deals. Maintain accurate lead, sales, and support records in the CRM. Provide basic troubleshooting and support during onboarding and usage phases. Qualifications: Bachelor's or Master's degree in Computer Science , Engineering , or Business Administration (MBA) . Fluent English – spoken and written. Good understanding of basic tech concepts (web, APIs, integrations). Familiarity with CRMs, SaaS platforms, or marketing tools is a plus. Excellent interpersonal and communication skills. Ability to multitask and prioritize in a fast-paced startup environment. Bonus Skills (Preferred but Not Mandatory): Hands-on understanding of APIs or workflow automation tools (e.g., Zapier, Pabbly, Make). Experience with WhatsApp Business API, Shopify, or chatbot tools. Previous experience in tech sales or SaaS onboarding. What We Offer: A chance to work with cutting-edge AI & automation technologies. Opportunity to grow in a fast-scaling global SaaS company. Dynamic startup culture with mentorship and growth support. Competitive compensation with recurring incentives. Job Type: Full-time Pay: ₹15,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Supplemental Pay: Commission pay Work Location: In person

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Company Description Not-Bot is a comprehensive platform for WhatsApp Automation, Marketing, and Chatbot building. It can automate various tasks such as scheduling appointments, making payments, and order tracking. The bot functions as an Interactive Voice Response (IVR) system on WhatsApp and can act like a real human when integrated with AI. Designed to integrate seamlessly with any database, website, or app, Not-Bot significantly simplifies and enhances digital workflows for numerous industries including medical institutions, educational establishments, e-commerce, and government offices. Role Description This is a full-time remote role for a Video Content Creator Intern. The intern will be responsible for conceptualizing, creating, and editing video content for various platforms. Daily tasks will include brainstorming video ideas, scripting, filming, and post-production editing. The role also involves creating video content for marketing campaigns, social media, tutorials, and promotional materials. Qualifications Proficiency in video production, including filming, editing, and post-production Experience with video editing software such as Adobe Premiere, Final Cut Pro, or similar Creativity and ability to develop engaging video content Strong research and scriptwriting skills Knowledge of digital marketing and social media platforms Effective communication skills and ability to work collaboratively Capability to work independently and manage time efficiently Familiarity with video SEO is a plus Currently pursuing or recently completed a degree in Multimedia, Film, Marketing, or a related field Show more Show less