137 Chatbot Development Jobs - Page 2

Software Developer /Data Engineer /Test Engineers working with cross-functional teams on cutting-edge solutions based on GenAI / AI Agents /Internet of Things (IoT) in Azure /AWS/GCP/ Private Cloud. Opportunities to learn/work on nextgen technologies Required Candidate profile Bachelor’s degree in Electronics,Computer Science,IT, or a related field. Strong Problem Solving with Proficiency in Python or Java & DevOps Knowledge of AI/ML/IoT & Cloud Tech Good Communication

Highly skilled Prompt Engineer with extensive experience in prompt design, fine-tuning open-source LLMs, and deploying models locally via Ollama. https://docs.google.com/document/d/1ItZBGW6PWZPnoa7Nk4-wa947KD2aLhXIEFjoDieDtEY/edit?usp=sharing

As an experienced Tech Lead with over 10 years of expertise, you will play a crucial role in designing, developing, and implementing complex software solutions at BJS Home Delivery in Chandigarh. Your comprehensive background in backend development (Python, PHP), frontend technologies (React, Angular), and proficiency in DevOps, chatbot development, Machine Learning, and Artificial Intelligence will be instrumental in leading a team of developers and ensuring seamless integration across various technologies. Your key responsibilities will include providing architectural leadership by designing scalable, robust, and secure solutions. You will develop architectural blueprints and technical specifications to guide the development team, ensuring alignment with business objectives. Additionally, you will lead and mentor developers, offering hands-on technical guidance for backend and frontend development, overseeing code quality, and implementing best practices in software development. In the realm of DevOps and Infrastructure, you will design and implement CI/CD pipelines, manage cloud infrastructure on Azure, and establish monitoring, logging, and alerting systems to ensure high availability and security. You will also integrate machine learning models and AI solutions, leading the development of AI-driven features and chatbot functionalities while staying abreast of the latest advancements in AI and machine learning technologies. Your role will involve developing and maintaining backend services using Python, PHP, Flask, and MySQL, as well as implementing frontend applications using React, Angular, JavaScript, jQuery, AJAX, HTML5, and Bootstrap. Optimizing performance and scalability of both frontend and backend systems will be essential, alongside staying updated with emerging technologies and industry trends, advocating for continuous improvement processes, and driving innovation within the team. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Your technical skills should encompass extensive experience in backend development, proficiency in frontend technologies, a strong understanding of DevOps practices and tools, experience with chatbot development, machine learning, artificial intelligence, and knowledge of databases such as MySQL and Redis. With over 10 years of software development experience, including architecture and technical leadership, you should possess strong problem-solving skills, excellent communication, interpersonal abilities, leadership qualities, and the capacity to excel in a dynamic environment.,

We are seeking a highly experienced Lead Backend Engineer with a strong background in Node.js and deep expertise in Generative AI, LLMs (Large Language Models), and Chatbot development. You will have a significant role in the design, development, and scaling of backend systems that support AI-driven applications and conversational interfaces. Your responsibilities will include designing and implementing scalable backend services and APIs using Node.js and modern frameworks such as Express and NestJS. You will lead the architecture and integration of LLMs (OpenAI, Anthropic, open-source models) into production applications, focusing on prompt engineering to fine-tune LLM outputs for specific business tasks. Additionally, you will be responsible for building and optimizing chatbot platforms and conversational AI pipelines. Collaboration with AI/ML engineers, frontend developers, product managers, and designers to deliver robust AI-driven features is a key aspect of this role. You will guide and mentor a team of engineers through best practices in backend engineering, code quality, and system design. Implementing observability, performance tuning, and API reliability measures will also be part of your responsibilities. Staying up to date with advancements in GenAI, NLP, and emerging LLM capabilities is essential. To be successful in this role, you should have 7-10 years of backend development experience with a strong foundation in Node.js. Proven experience in building and deploying applications using LLMs and Generative AI (OpenAI, Claude, Llama, etc.) is required. A solid understanding of Prompt Engineering, prompt tuning, and context management for LLMs is crucial. Experience with chatbot frameworks such as Dialogflow, Rasa, Botpress, or custom solutions is necessary. Strong knowledge of RESTful APIs, WebSockets, and asynchronous programming is expected. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) is a plus. Proficiency in working with cloud platforms (AWS/GCP/Azure), a strong understanding of system design, architecture patterns, and scalability principles, as well as excellent problem-solving, communication, and leadership skills are important for this role.,

. Exposure in handling Python, Java and R,Keras or PyTorch,AI tools,Asp,vb,ado,mvc,sql,css platforms, and libraries to support project requirements. . Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). . As a Data Eng, responsibilities will include web scrapping, manage distributed data processing, and develop robust data pipelines. . As an ML Eng, responsibilities will include training,monitoring,and evaluating state -of-the-art speech models.Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV, NLTK, Matplotlib Jupyter Notebook, Anaconda, Power BI, Tableau, Apache Spark (Intro) AI & Emerging Technologies: Computer Vision, NLP, Chatbot Development, Recommendation Systems OpenAI, Hugging Face Transformers, Google Vision API.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role Developing chatbots using Dialogflow CX and ES. designing/developing user-centric conversation experiences involving chat, text or voice architecting and building AI powered chatbot applications using platforms such as Dialogflow CXcloud platforms(GCP/AWS/Azure) integrating APIs using NodeJS and PythonConstruct intents, entities, and annotations in Dialogflow tool. Your Profile Hands-on experience in developing chatbots using Dialogflow CX and ES. Experience in designing/developing user-centric conversation experiences involving chat, text or voice. Experience in architecting and building AI powered chatbot applications using platforms such as Dialogflow CX. Sound knowledge of cloud platforms(GCP/AWS/Azure). Experience in integrating APIs using NodeJS and Python. Construct intents, entities, and annotations in Dialogflow tool. Write API documentation that outlines endpoints that Customers need to implement the CCAI on their endLiaise with the Customer and Data Architect on use case requirements and API technical requirements. Label Agent Questions and Answers. Labels that are used by Conversational Architects in the Conversation Nodes can be considered as Pages in Dialogflow. Conversational Architects need at least 50 complete interactions from start to finish to model the conversation flow effectively. What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learnon one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications

Primary Skills (mandatory) Bot Development (ideally on Kore.AI platform) & ( programming languages (like Python, JavaScript, or Java), Natural language processing (NLP), Machine learning (ML), and conversational design ), Bot Lifecycle Management, JavaScript, REST APIs, Web Services, Cloud Deployment (Azure/AWS), Debugging & Performance Optimization, Operations & Maintenance Support Secondary Skills (optional) Additional software languages (Python, JSON, HTML/CSS, XML), alternative bot development platforms (Dialogflow, MS Bot Framework, Rasa, etc.), CI/CD Pipelines, Test Case Development, Telephony Platforms Process: Agile Tools: ADO, Kore.AI, Visio, ServiceNow

Role Definition We are seeking an innovative and visionary Technology Leader to guide the future of our technological landscape for Robotics Process Automations (RPA), Office365 tools and Power Platform, Chatbots, Generative AI/Agentic AI, and other emerging technologies. This leadership role oversees investigations, assessments, and implementation of emerging technologies to drive advanced process automation and app development. The ideal candidate is passionate about adopting new technologies and promoting change. In addition to guiding the strategic integration of innovative tools and solutions, this position involves collaborating with cross-functional teams including Warehouse Operations, Supply chain Services, Customer services, Human resources, Business resources etc. across Product Support Logistics Division (PSLD) to identify opportunities for process improvement and increased efficiency. The leader will be responsible for staying informed of industry trends, evaluating technology vendors, and ensuring that all implementations align with organizational goals and compliance standards. Strong communication and project management skills are essential for effectively managing projects from conception through execution, as well as for fostering a culture of continuous learning and adaptability within the team. Success in this role will help the organization maintain a competitive edge and rapidly respond to evolving business needs. Responsibilities Proven experience in building and leading high-performing technology teams (30 Cat + 30 Agency), Team members based in India & Brazil. Lead the development of web applications to enhance downstream and upstream processes, extending the capabilities of ERP/core business applications. Build roadmaps, oversee execution and manage RPA-Automation Anywhere, Power Platform, and .NET-based solutions from infrastructure setup to solution deployment. Ensure cybersecurity compliance tasks are aligned with corporate IT system security guidelines. Collaborate with vendor teams to remain informed of their product roadmaps and key innovations. Incorporate relevant updates into the technology adoption strategy. Work closely with PSLD business partners to deliver technology solutions that meet strategic business needs. Engage actively in key industry forums to comprehend emerging trends, hype cycles, technology roadmaps, and their applicability to enterprises, providing insights and proofs of concepts based on these trends. Strong knowledge of enterprise architecture guidelines, software onboarding processes, software licensing proposals, and enterprise technology initiatives. Exceptional communication and collaboration skills to work effectively with diverse teams and stakeholders. Ability to think strategically and envision technological advancements that drive business success. Degree Requirement Advanced degree in Computer Science, Information Technology, or a related field. Preferred experience with enterprise-level cybersecurity practices and compliance. Masters or Certification in AI/ML is a plus. Skill Descriptors Business Acumen: Knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations. Information Technology Trends: Knowledge of marketplace experience, developments and trends related to the organization's use of Information Technology (IT); ability to apply knowledge of IT appropriately to benefit the organization. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Continuous Transformation: Knowledge of evolving the business to remain competitive; ability to understand, adapt oneself to, respond to and proactively seek changes and innovation in the business environment to improve the competitive advantage of an organization. Talent Management: Knowledge of the critical competencies required to achieve intended results; ability to generate consistent approaches for hiring, selection, retaining and leveraging talent across the organization. Leadership: Knowledge of leadership practices and processes; ability to use strategies and skills to enlist others in setting, embracing and achieving objectives while having a long-term perspective of the future state of things and how to get there. Matrix Management: Understanding of the importance of being able to leverage external resources when required and ability to build and use effective working relationships within own department and across department, functional, and geographic reporting lines. Vendor/Supplier Management: Knowledge of external provider management processes and ability to effectively manage the business relationship with external providers (e.g. vendors, service providers, contractors, consultants and suppliers). Note: Working in the office five days a week is required

We are seeking a Senior Solution Consultant with 6-10 years of experience in API integration, chatbot development, and data analysis tools. The role involves designing solutions, managing virtual assistants' architecture, gathering business requirements, and leading end-to-end delivery. The candidate should have experience in APIs like OData, REST, SOAP, as well as tools like Postman, Excel, and Google Sheets. Familiarity with NoSQL databases such as MongoDB, natural language processing, chatbot platforms (Dialogflow, Microsoft Bot Framework), and analytical tools like Power BI, Tableau, or Grafana is essential. The consultant will work closely with cross-functional teams, mentor other consultants, and ensure seamless integration with customer systems.

Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Exp : 18+ yrs Location : Any Aziro Location About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting. This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture, and digital transformation consulting. You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications. Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines. Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP. Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows. Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering, to align AI solutions with business goals. Provide technical leadership in IT strategy for startups, advising on AI adoption, cloud transformation, and scalable product architectures. Lead and manage the pre-sales team for digital transformation projects, working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership, establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions. Strong background in DevOps, CI/CD, and cloud-native architectures (Azure, AWS, GCP). Experience in designing and deploying secure, scalable, and cost-optimized data platforms. Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation. Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives, and building secure authentication flows using OAuth2, SAML2, and social logins. Expertise in integrating complex systems using ETL pipelines, Queuing solutions, and Enterprise Integration products. Demonstrated ability to balance strategic oversight with hands-on technical execution. Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation, helping you grow in both technical and leadership dimensions. At Aziro Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder, wed love to connect!

Job description A global travel company is seeking an candidate of our Artificial Intelligence Strategy to contribute to the development of integrating Artificial Intelligence tools into our workflows. . As an AI Engineer, you will be responsible for designing, implementing, and maintaining Artificial Intelligence tools to assist customer on the website find the information related to travel experiences, both within our own company website and from third party sources Responsibilities Design and implement Artificial Intelligence procedures such as Chabot solutions using industry-leading technologies and frameworks. Collaborate with stakeholders to understand requirements and translate them into functional AI features. Implement Natural Language Processing (NLP) techniques to enable accurate understanding and generation of human-like responses. Integrate AI workflows within external systems, APIs, and databases to fetch and deliver data as required. Design and implement dialog management systems to handle user interactions and maintain context. Optimize AI performance and usability by refining conversational flows and user interfaces. Conduct thorough testing and debugging to identify and resolve issues, ensuring the AI functions reliably and efficiently. Stay up to date with the latest advancements in NLP, AI, technologies to incorporate innovative solutions. Collaborate with cross-functional teams, including designers, product managers, and data scientists, to deliver high-quality AI solutions. Provide technical guidance and support to junior developers as needed. Document technical specifications, processes, and best practices to ensure knowledge sharing and maintainable code. Requirements Proven experience as a Chatbot Developer or similar role, with a strong portfolio of AI projects. Proficiency in programming languages such as Python. Experience in any RDBMS and NoSQL databases In-depth knowledge of NLP techniques, libraries, and frameworks, such as NLTK, spaCy, or BERT. Familiarity with AI frameworks and platforms, such as Dialog flow, Rasa, or Microsoft Bot Framework. Experience in integrating AI such as Co-pilot and ChatGPT APIs. Strong problem-solving and analytical skills to design and implement effective AI solutions. Excellent understanding of software development principles, including version control, testing, and debugging. Knowledge of UX design principles and conversational UI design. Strong communication skills and ability to collaborate effectively with team members and stakeholders.

Role & responsibilities: Design and lead technical architecture for secure, multi-tenant systems. Architect resilient microservices using Node.js, Python, and Azure. Integrate OpenAI LLMs and Kore.ai conversational AI workflows for intelligent experiences. Guide prompt engineering strategy and LLM fine-tuning aligned with product goals. Drive implementation of high-throughput messaging and data systems using Redis, RabbitMQ, Clickhouse, VectorDB, and MongoDB. Manage configuration and performance tuning of APISIX (API Gateway) and Nginx (Reverse Proxy). Lead design for context-aware session management and semantic relevance frameworks. Define secure architectural patterns with RBAC, token lifecycle, and deep observability. Collaborate with and mentor backend, frontend, and DevOps teams to ensure system alignment. Establish and maintain architectural documentation and technical standards. Preferred candidate profile: Deep experience in cloud-native architecture and microservices design. Hands-on skills with Node.js, Python, React, and Azure. Proven success in LLM integration with tools like OpenAI and Kore.ai. Strong grasp of messaging, caching, and high-performance data pipelines. Familiarity with APISIX, reverse proxies, and distributed systems security. Experience with vector databases, time-series storage, and semantic search.

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you&aposll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You&aposll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&aposll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About The Team About AWS: Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn&apost followed a traditional path, or includes alternative experiences, don&apost let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world&aposs most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that&aposs why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it&aposs in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth - We&aposre continuously raising our performance bar as we strive to become Earth&aposs Best Employer. That&aposs why you&aposll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there nothing we cant achieve in the cloud. Basic Qualifications Bachelors degree required 10+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc. Hands-on technical practitioner and individual contributor Hands-on experience working on the design, development and deployment of contact center solutions at scale Preferred Qualifications 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms Familiarity with Amazon Connect capabilities, benefits, and required deployment skills. Responsibility for designing, implementing and operating contact centers or telecommunication infrastructures within an enterprise environment Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure. Experience implementing and optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI services Software Development / DevOps experience with integrating contact center platforms, CRMs, and WFMs Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. Company - AWS ProServe IN - Karnataka - H53 Job ID: A3024907 Show more Show less

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond Salaries and provide guaranteed benefits that speak about Swaas value and culture. Our employees get common benefits and also performance-based individual benefits Performance based benefits We promote a culture of equity Accept the challenge, deliver the results and get rewarded Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding Upskilling We believe in fostering a culture of Learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications Junior AI/ML Developer (Entry-Level) (Experience: 0-2 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, PostgreSQL Responsibilities: Assist in developing AI-driven solutions using LLMs (ChatGPT, Perplexity.ai) and RAG (Retrieval-Augmented Generation). Work on intent extraction and chatbot development, integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/Node.js scripts for the applications. Debug and refine LLM-powered chatbots. Requirements: Strong programming skills in Python (FastAPI, Flask) or Node.js. Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain). Familiarity with RESTful APIs and Graph Databases (Neo4j). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Bonus: Knowledge of UI frameworks (React, Next.js). Good to have - Pinecone or equivalent vector databases.,

We are currently seeking highly motivated and passionate Machine Learning Engineers to become part of our team at Inavan India Technologies Pvt Ltd. As a Machine Learning Engineer, you will be involved in various cutting-edge projects spanning across different domains of machine learning. Ideal candidates for this role should have practical experience in at least one or more of the following specialized areas: Generative AI: Demonstrated expertise in developing models capable of generating new content, including text, images, or other media forms. Deep Learning: Proficiency in utilizing neural networks and advanced algorithms for pattern recognition and sophisticated data processing. Computer Vision: Knowledgeable in the application of machine learning techniques for image and video analysis. Predictive Analysis: Skilled in creating models that can forecast outcomes based on historical data. Chatbot Development: Proven track record in constructing and deploying conversational AI systems. Key Skills required for this role include familiarity with LLMs such as OpenAI and Local LLMs like LlaMA, as well as AI agents. Additionally, knowledge of prompt engineering, RAG, LangChain, and Ollama for LLM applications is highly desirable. Candidates should also possess proficiency in SQL AI agents and database-driven model interactions, along with the ability to work with popular machine learning frameworks and tools such as TensorFlow and PyTorch. Strong programming skills in Python, as well as other relevant languages, are essential. Additional Skills that would be advantageous for this position include knowledge of Deep Learning models for specialized AI tasks, familiarity with cloud deployment of AI/ML models, and experience in Natural Language Processing (NLP) and sentiment analysis. Applicants must be willing to work in a collaborative on-site environment at our Kochi office. This is a Full-Time position located in Kochi, Kerala.,

About Temenos Temenos powers a world of banking that creates opportunities for billions of people and businesses everywhere. With over 30 years of experience, the pioneering spirit of Temenosians drives the mission of making banking better, collectively. Serving more than 3000 clients in 150+ countries, Temenos collaborates closely with clients to develop innovative banking services and cutting-edge customer experiences on an open banking platform, promoting sustainable operations. Temenos fosters an open-minded and inclusive culture where every individual has the autonomy to shape their destiny and contribute positively to the banking industry and society. THE ROLE (At Bangalore/Chennai) Product Analysis and Customer Support (PACS) team plays a crucial role in assisting clients utilizing Temenos products, ranging from clients in the Implementing stage to those already live on Temenos products. The team has developed a Temenos chatbot powered by large language models (LLMs) and is in search of senior software engineers to oversee its maintenance, operations, and feature enhancement. As a senior software engineer in the PACS team, your responsibilities include participating in the design, development, maintenance, and deployment of the LLM-based Chatbot. OPPORTUNITIES - Work on the functional design, process design, prototyping, testing, and maintaining of the Chatbot to handle extensive data effectively for desired outcomes. - Articulate and document the Chatbot architecture and share insights gathered from each exploration, while continuously analyzing statistics, data, and algorithms for improved accuracy. - Analyze and elucidate AI and machine learning (ML) solutions in the Chatbot, adhering to high ethical standards. - Understand organizational and client challenges and explore how integrating AI capabilities can lead to innovative solutions. - Stay abreast of AI knowledge, trends, and regulations. Skills - BE/BTech candidates with 3 to 5 years of relevant work experience, possessing a strong understanding of data science, algorithms, and statistics. Preferably seeking candidates with expertise in Python/JS development with LLM/RAG/Chatbot development and familiarity with Langchain and Postgres databases. - Proficiency in Python, JavaScript, and preferably PHP. - Experience working on the Azure Cloud platform, Web technologies, and API tools. - Solid grasp of functional, reactive, and object-oriented programming. - Experience in designing solutions for large data volumes and optimizing performance. - Proficiency in handling databases such as Postgres, with an optional skill in HTML. VALUES - Care: We prioritize caring and listening to each other, our clients, partners, and the communities we serve. - Commit: We exhibit determination and persistence in making things happen. - Collaborate: We foster collaboration within Temenos and across a broader partner ecosystem. - Challenge: We challenge the status quo, encourage diverse perspectives, and drive transformative change. Please make sure to read our Recruitment Privacy Policy. Job posted on 31st July 2025, and Interested candidates may apply for the Job role by 6th August 2025.,

The ChatBot Engineer role involves progressing the development and support of the Chatbot platform to create solutions that better serve the business and ultimately the Customer. You are expected to participate in all areas of the Chatbot team, working with other team members to identify challenges, research solutions, propose approaches for discussion, conduct pre-defined pilots, and support solutions through to implementation across the Chatbot platform. Through paired programming activities, you will support the evolution of the Chatbot service with an infrastructure as code philosophy, ensuring knowledge of best practice techniques are understood. Your role will align with industry standard cloud principles, encouraging and supporting the Delivery teams to use the platform while assisting in 2nd & 3rd line troubleshooting where necessary. Hands-on engineering skills in at least 1 programming language are required for this role. Your key accountabilities include ensuring that the Chatbot platform remains supportable, flexible, and aligned to the original design operative principles. You will provide 2nd line operational & engineering platform delivery support for all Chatbot services & environments. This includes supporting & troubleshooting key areas of the Chatbot stack and may involve being a member of the on-call 24 * 7 rota. You are expected to get involved in all areas of the Chatbot Product, such as inception/stand-ups/retrospectives, taking the initiative to own varied stories across the entire Chatbot stack through to completion. Working closely with other Chatbot Engineers, you will deliver solutions through paired programming activities & test-driven development, while taking the initiative to develop further programming skills & best practice capabilities. Your role will involve working through the challenge of engineering innovative solutions to a desired automatic immutable end state with other Chatbot engineers, relying on low cost, low maintenance open-source technologies aligned to the Chatbot Product Roadmap as agreed with the Chatbot Platform Owner. You are expected to keep up to date with the latest news within the conversational chat community and within your original area of expertise to further support the Chat Platform Owner in evolving the Chatbot service. As a Cloud Engineer with 6-9 years of experience (Expert Engineer), you are required to have experience in software delivery in agile methodologies. Deep knowledge of AWS and its various services, primarily EC2, VPC, IAM, Serverless offerings, RDS, R53, CloudFront, Elasticsearch is essential. A strong hold on networking core concepts, understanding of Serverless Architecture and AWS offerings, and proficiency with Terraform and/or CloudFormation Core concepts are crucial. Hands-on experience with Unix Scripting, Python, CI-CD tools like Jenkins, Code Build, Code Pipeline, and good experience with containers technologies will be advantageous. Working knowledge of APIs, caching, messaging, and majoring in at least one of the programming languages/frameworks such as NodeJS & Python is required. Knowledge of Javascript/Typescript, TDD and pair programming best practices with CI/CD pipelines, strong communication skills, and interest in a pair-programming environment are also important. Industry: IT/Computers-Software Role: Chatbot Cloud Expert Engineer Key Skills: Serverless computing, Python, Virtualization, Cloud Services, VPC, Chatbots, Serverless Architecture, Javascript, Nodejs, Cloud, Unix Scripting, Elasticsearch, EC2, Jenkins, CI/CD, Terraform, Typescript, Chatbot Development, AWS Education: B.E/B.Tech Email ID: Resume.Augusta@augustainfotech.com,

One of our client is seeking a Chatbot Engineer with 3-5 Years of experience to design and build the next generation of Conversational AI/NLP products, with a focus on Python and related frameworks, and experience in chatbot development. This is an exciting job role that involves building a long-term career in Conversational AI/NLP and Deep Learning & opportunity to join one of the fastest growing Conversational AI companies in US/Silicon Valley. Job Description Strong skillset in python related frameworks/tools, and other back-end applications. Experience in designing and building Chatbots / Voicebots- are preferred. Designing, developing, and managing data structures and database management systems. Maintaining and upgrading existing products and features. Key Requirements Min 3 years of experience working on NLP or Conversational AI products like Rasa NLU/projects At least 3 years of experience with Python and related frameworks and components At least 3 years of hands-on experience with data structures and database design. Understanding and experience in working on Machine Learning algorithms and Data Science projects. Strong analytical skills and ability to understand concepts quickly. Experience in working with cross-border and cross-functional teams. Good communication skills and ability to multi-task. Proven experience in high-level programming languages, like conversational platforms, Python, software development methodologies, and in building complex web systems. Show more Show less

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond Salaries and provide guaranteed benefits that speak about Swaas value and culture. Our employees get common benefits and also performance-based individual benefits Performance-based benefits We promote a culture of equity. Accept the challenge, deliver the results, and get rewarded. Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs. Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package. Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding. Upskilling We believe in fostering a culture of Learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications. Junior AI/ML Developer (Entry-Level) (Experience: 0-2 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, PostgreSQL Responsibilities: - Assist in developing AI-driven solutions using LLMs (ChatGPT, Perplexity.ai) and RAG (Retrieval-Augmented Generation). - Work on intent extraction and chatbot development, integrating APIs like OpenAI or LLama. - Support the design and testing of AI-enhanced workflows. - Implement database interactions (MySQL or PostgreSQL for structured data). - Write and optimize Python/Node.js scripts for the applications. - Debug and refine LLM-powered chatbots. Requirements: - Strong programming skills in Python (FastAPI, Flask) or Node.js. - Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain). - Familiarity with RESTful APIs and Graph Databases (Neo4j). - Basic understanding of cloud platforms (AWS, Azure, GCP). - Passion for AI, NLP, and chatbot development. - Bonus: Knowledge of UI frameworks (React, Next.js). - Good to have - Pinecone or equivalent vector databases.,

Job Title: Power Platform Developer (14 Years Experience) About the Role: We are seeking a skilled and enthusiastic Power Platform Developer with 14 years of experience to join our growing team. The ideal candidate will have hands-on expertise in building and managing business applications using Microsoft Power Platform components including Power Apps, Power Pages, Power Automate, and AI Builder, alongside a solid foundation in web technologies and API integrations. Key Responsibilities: Design, develop, and deploy solutions using Power Apps (Canvas & Model-driven), Power Pages, Power Automate (Flow), and Power BI. Create and manage SharePoint Online lists and libraries, Excel Online integrations, and SQL Server backends for app data storage and reporting. Develop interactive dashboards and automate business workflows across departments using Power Automate. Build intelligent applications leveraging AI Builder and chatbot components. Integrate external APIs and services within Power Platform solutions. Collaborate with cross-functional teams to gather requirements, propose solutions, and implement scalable low-code/no-code applications. Troubleshoot and optimise existing apps for better performance, usability, and scalability. Document processes, workflows, and best practices for maintenance and knowledge sharing. Required Skills & Qualifications: 14 years of hands-on experience with Microsoft Power Platform: Power Apps (Canvas and/or Model-Driven) Power Pages / Power Portals Power Automate / Flow Power BI (basic reporting and visualisation) AI Builder and chatbot development Experience with SharePoint Online, Excel Online, and SQL Server as data sources. Strong foundation in core web technologies: HTML, CSS, JavaScript. Familiarity with API integration and data connection setup. Good understanding of data modling and basic relational database concepts. Strong analytical, problem-solving, and communication skills. Preferred Qualifications: Microsoft certifications in Power Platform (e.g., PL-100 , PL-200 , PL-400 ) are a strong advantage . Completion of relevant low-code/no-code development training or certification programs. Exposure to Microsoft Dynamics 365 or Azure services is a plus. Experience working in Agile or hybrid project environments. We are seeking candidates who can start immediately. Show more Show less

Hiring for Nice cx one , Implementation s must Hybrid Gurgaon,Chennai,Hyderabad, Bangalore,Pune, Mumbai Delivery exp. must "conversational AI", "VOICE BOT", "ccaas", "genai", "bot", cx transformation", "nice cxone", "cxone", "service strategy"

Experience in Nice CX One as a developer, designer, configuration, implementation, omni channels, Presales in Contact center.

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

AWS Cloud platform and services with Solution architect,working on the design, development and deployment of contact center solutions,Hands-on development experience with cognitive service such as Amazon connect, Amazon Lex

The Applications Development Intermediate Programmer Analyst position is at an intermediate level and involves contributing to the establishment and implementation of new or revised application systems and programs in collaboration with the Technology team. Your main responsibility will be to participate in applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures, concepts, and other technical areas to identify necessary system enhancements and define them. This may involve using script tools, analyzing code, and consulting with users, clients, and technology groups to recommend programming solutions, as well as supporting customer exposure systems. Additionally, you will apply your programming language skills to design specifications and analyze applications for vulnerabilities, security issues, testing, and debugging. As an Intermediate Programmer Analyst, you will also serve as an advisor or coach to new or lower-level analysts, identify problems, analyze information, and recommend and implement solutions. You should be able to operate with a limited level of direct supervision, exercise independence of judgment, and act as a subject matter expert to senior stakeholders and team members. In this role, you will need to assess risks when making business decisions, considering the firm's reputation, and ensuring compliance with laws and regulations. You must have 3-6 years of relevant experience in the Financial Service industry, intermediate-level experience in Applications Development, clear and concise communication skills, problem-solving abilities, and the capacity to work under pressure and manage deadlines effectively. A Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field is required. Job Requirements: - Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred - 3+ years of experience as a Data Scientist, with at least 2 years in Generative AI - Proficiency in Python, TensorFlow, PyTorch, Transformers, and LangChain - Experience in API development on cloud platforms like AWS, Azure, GCP - Deep understanding of Machine Learning concepts - Strong analytical and problem-solving skills - Excellent communication and presentation skills Preferred Qualifications: - Experience with MLOps practices and tools - Familiarity with chatbot development frameworks - Knowledge of data visualization and reporting tools - Contributions to open-source projects or publications This role requires a motivated individual with a passion for Generative AI and a proven ability to deliver impactful results.,