4010 Openai Jobs - Page 26

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are seeking a Senior Full Stack Engineer who will join us in revolutionizing customer experiences with our client, a global leader in cloud contact center software. We bring the power of cloud innovation to enterprises worldwide, empowering businesses to deliver seamless, personalized, and joyful customer interactions. Our vision for practical AI involves equipping contact centre agents, supervisors, and managers with user interfaces that guide and summarize their work, identify points of coaching and support, fully automate routine interactions, and allow creation, deployment, and ongoing management of the AI agents required. You will join the team, which drives the development of practical AI solutions. Our product is built on a robust technology stack including PHP/Laravel, Python, and Vue.js, and is deployed across both private and public cloud infrastructures. We leverage the latest cloud AI services such as Azure OpenAI, Google AI APIs, IBM Watson and Amazon Lex. Responsibilities: Design, develop, and maintain scalable backend and front-end solutions for the Studio platform. Enhance the drag-and-drop flow builder to integrate voice, SMS, and chatbot channels. Collaborate with product managers, designers, and engineers to deliver new features. Ensure performance, security, and reliability through code reviews and best practices. Write tests and documentation to support high-quality releases. Explore and integrate cutting-edge AI technologies (Azure OpenAI, Google AI, IBM Watson, Amazon Lex). Participate in agile processes and continuous improvements (CI/CD, automation). Qualifications 7+ years of professional experience in software development with a strong full-stack background. Proficiency in a variety of programming languages, including but not limited to PHP, JavaScript, Python, or others as required. Expertise in server-side technologies, databases (SQL and NoSQL), and back-end frameworks like PHP/Laravel framework. Strong experience with web development technologies such as HTML, CSS, JavaScript, and modern front-end frameworks like Vue.js or React. Awareness of web security best practices and the ability to implement security measures to protect applications and data. A portfolio of past projects showcasing design and full-stack development skills. Ability to work independently and as part of a collaborative team. Strong commitment to delivering high-quality code and solutions on time and within scope. Bachelor’s degree (or equivalent) in relevant discipline. Nice to have: Experience with Java/SpringBoot. Experience with multi-tenanted systems. Expertise with Sharding in Mysql, Redis and Mongodb is highly advantageous. Experience with Contact Centre, IVR, Virtual Agents, VoIP and telecommunications service providers is advantageous. Experience with Google Cloud Platform, Kubernetes, and CI/CD. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

You will be part of a team that is building an Agentic AI Platform aimed at enabling enterprises to solve real business problems using Agentic AI workflows. The platform covers a wide range of areas from utility operations to legal document review. The ultimate goal is to empower AI agents to think, act, and deliver quickly, securely, and locally. As an Agentic AI Engineer, you will have the opportunity to work with cutting-edge frameworks such as Lang Chain, CrewAI, Lang Graph, Google ADK, and more. Your role will involve translating real enterprise challenges into intelligent multi-agent workflows. Your responsibilities will include building and deploying AI agents using open-source agentic frameworks, integrating models from sources like OpenAI, Mistral, Gemini, Llama, Claude, among others, and utilizing tools such as Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores. Collaboration with product managers and domain experts to address real problems in various enterprise domains like utilities, legal, marketing, and supply chain will be a key aspect of your role. Additionally, you will play a significant role in continuously testing and refining agent behavior and contributing to the enhancement of the proprietary DataInsightAI platform. To excel in this role, you should possess at least 1+ years of hands-on experience in implementing enterprise-level Gen AI projects that have been successfully deployed. Strong Python skills, familiarity with LLMs, agentic AI workflows, RAG, vector databases, and the ability to simplify complex problems are essential. A curiosity-driven mindset, a fast learner, and hands-on coding abilities are also crucial for success in this role. While not mandatory, experience in multi-agent architectures, graph databases like Neo4j, deployment on cloud platforms such as Azure/AWS/GCP, and familiarity with LangGraph or Google ADK are considered advantageous. Joining our team will offer you the opportunity to work on cutting-edge agentic AI projects daily, be part of a small team with significant ownership, ship solutions rapidly, and tackle real enterprise challenges. Moreover, you will be supported by InTimeTec, a company with a strong AI/ML engineering culture.,

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Position Overview: We are looking for a highly motivated and curious Python Developer who can work on developing automation frameworks and Gen AI aided tools to enhance productivity of our Engineers. This role will involve working on cutting-edge internal tools and R&D initiatives leveraging modern advancements including Generative AI and Large Language Models (LLMs). Main Duties / Responsibilities: Develop and maintain TAF (Test Automation Framework) which is in Django, Ninja, React-JS Develop, integrate and maintain LLM-based applications and tools using Python Work on prompt engineering, model fine-tuning, and API-based integrations (e.g., OpenAI, Hugging Face) Contribute to the development of Retrieval Augmented Generation (RAG) systems Assist in preparing datasets and pipelines for training and inference Prototype AI-powered features, assistants, or copilots for internal use cases Collaborate closely with team members in iterative development and research-driven experimentation Essential Skills & Qualifications: Must have skills Working experience of 1-3 years Strong programming skills in Python Experience in Python, Django, Ninja, GenAI-APIs, LLMS, prompt-engineering Good problem-solving skills and an analytical mindset Curiosity and eagerness to learn emerging technologies and put them into action Ability to collaborate effectively in a team setting Nice To Have Skills Familiarity with libraries/frameworks like LangChain, Hugging Face Transformers, PyTorch, or TensorFlow Experience with GenAI tools and APIs (e.g., OpenAI, Cohere, Anthropic) Exposure to MCP Personal or academic projects involving LLMs or generative models Participation in AI/ML hackathons or competitions Active GitHub portfolio or contributions to open-source AI projects Exposure to AWS services Why join us? We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way. An inclusive environment to thrive We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day. Be rewarded for your efforts We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration. Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials. We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply .

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year About Role: We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/GenAI platforms such as OpenAI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further.

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year About Role: We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/GenAI platforms such as OpenAI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further.

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year About Role: We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/GenAI platforms such as OpenAI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further.

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year About Role: We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/GenAI platforms such as OpenAI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and develop scalable systems for processing unstructured data into actionable insights using Python, Flask, and Azure Cognitive Services Integrate Optical Character Recognition (OCR), Speech-to-Text, and NLP models into workflows to handle various file formats such as PDFs, images, audio files, and text documents Implement robust error-handling mechanisms, multithreaded architectures, and RESTful APIs to ensure seamless user experiences. Utilize Azure OpenAI, Azure Speech SDK, and Azure Form Recognizer to create AI-powered solutions tailored to meet complex business requirements Collaborate with cross-functional teams to drive innovation and implement analytics workflows and ML models to enhance business processes and decision-making Ensure the accuracy, efficiency, and scalability of systems focusing on healthcare claims processing, document digitization, and data extraction Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 8+ years of relevant experience in AI/ML engineering and cognitive automation Proven experience as an AI/ML Engineer, Software Engineer, Data Analyst, or a similar role in the tech industry Extensive experience with Azure Cognitive Services and other AI technologies SQL, Python, PySpark, Scala experience Proficient in developing and deploying machine learning models and handling large data sets Proven solid programming skills in Python and familiarity with Flask web framework Proven excellent problem-solving skills and the ability to work in a fast-paced environment Proven solid communication and collaboration skills, capable of working effectively with cross-functional teams. Demonstrated ability to implement robust ETL or ELT workflows for structured and unstructured data ingestion, transformation, and storage Preferred Qualification Experience in healthcare industries Skills Python Programming and SQL Data Analytics and Machine Learning Classification and Unsupervised Learning Regression and NLP Cloud and DevOps Foundations Data Visualization and Reporting At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Mandatory Skills 8-10 years of exp. Strong proficiency in Python, SQL and experience with data processing libraries (e.g., Pandas, PySpark). Familiarity with Generative AI frameworks like LangChain, LangGraph, or similar tools. Experience integrating APIs from pre-trained AI models (e.g., OpenAI, Cohere, Hugging Face). Solid understanding of data structures, algorithms, and distributed systems. Experience with vector databases (e.g., Pinecone, Postgres). Familiarity with prompt engineering and chaining AI workflows. Understanding of MLOps practices for deploying and monitoring AI applications. Strong problem-solving skills and ability to work in a collaborative environment. Good To Have Experience with Streamlit to build application front-end. Job Description We are looking for an experienced Python Developer with expertise in Spark, SQL, data processing, and building Generative AI applications. The ideal candidate will focus on leveraging existing AI models and frameworks (e.g., LangChain, LangGraph) to create innovative, data-driven solutions. This role does not involve designing new AI models but rather integrating and utilizing pre-trained models to solve real-world problems. Key Responsibilities Develop and deploy Generative AI applications using Python and frameworks like LangChain or LangGraph. Work with large-scale data processing frameworks like Apache Spark, SQL to prepare and manage data pipelines. Integrate pre-trained AI models (e.g., OpenAI, Hugging Face, Llama) into scalable applications. Understands ML - NLP concepts and algorithms with an exposure to Scikit-learn Pytorch. Collaborate with data engineers and product teams to design AI-driven solutions. Optimize application performance and ensure scalability in production environments.

Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents – which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager II in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot’s extensible platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats – at the same time! We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Product Manager candidates who can operate in a fast-paced environment – predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. The ideal candidate for this role is an experienced "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. This must be demonstrated using real examples of rapid solution prototyping. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform to transform how people and companies work using generative AI. Your peers will be among the top professionals in the industry, sharing a strong focus on customer and partner success. This role involves interacting with partners and customers, and occasional travel within and outside the base location is expected. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers. Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers’ vision to life. Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy. Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike! Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications. Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers. Develop and drive strategic initiatives to enable “hockey stick” ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships. Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts. Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected). Embody our culture and values. Qualifications Required Qualifications: Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience. Previous experience with proven success in working on customer-facing technical engagements. Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. Solid executive presence and ability to think analytically and creatively on your feet. The ability to wear many hats and speak many language – from business to product to design to technical – learn quickly and change direction when needed. Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements. Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset. The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space. Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills. Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity. Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical. Good problem-solving skills and ability to think strategically on the feet. Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology. Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product & growth decisions. Preferred Qualifications 8+ years of product management experience with proven success in working with enterprise developer partners & customers. Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape. Hands-on expertise with AI agents as a “builder” using low-code/no-code or pro-code tools or technical stacks. Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.). #DPG Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We have multiple roles for Fullstack Developers and Fullstack Lead for our telecom based client in Gurgaon , interesting projects to work on with latest technologies like Gen AI Role 1: Fullstack Developer Exp: 3-6yrs Mandatory Skills: Java/Python, Angular/React, Cloud, AI/ML Job Summary: We are looking for a skilled Software Developer to join our AI-driven product development team. The ideal candidate will be responsible for designing, developing, and maintaining backend services, as well as integrating AI models into our systems. Responsibilities: Develop and maintain scalable, efficient, and maintainable code. Collaborate with cross-functional teams to design and integrate AI-driven applications. Work with LLM models such as OpenAI, Claude, and Lama to develop conversation responses. Create and manage APIs, integrating them into backend systems. Follow version control best practices to manage and collaborate on the codebase. Write and execute unit tests to ensure code quality and performance. Collaborate with other developers and stakeholders to improve product features. Participate in code reviews to ensure high coding standards. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in software development. Strong proficiency in Python, Java, or other relevant programming languages. Experience with cloud platforms like AWS, Azure, or GCP. Understanding of AI and machine learning concepts, especially LLMs. Experience with version control systems like Git. Strong communication and teamwork skills. Role 2 : Fullstack Developer Lead Exp: 7-11yrs Mandatory Skills: Java/Python, Angular/React, Cloud, AI/ML, Good experience in handling teams Job Summary: We are seeking an experienced and dynamic Team Lead Software Developer to lead a team of developers working on AI-driven solutions. This role involves guiding and mentoring the team, while ensuring high-quality development and timely delivery of features. Responsibilities: Lead and manage a team of developers, ensuring alignment with project goals and timelines. Design and implement scalable and maintainable software systems. Ensure high-quality software development practices through code reviews and mentoring. Work closely with cross-functional teams to integrate AI models into the product. Take ownership of system architecture and design decisions. Participate in the development of AI models and assist with their deployment. Ensure proper version control and CI/CD processes are followed. Assist with problem-solving and technical challenges faced by the development team. Stay up-to-date with emerging technologies and AI trends. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 6+ years of experience in software development, with at least 2 years in a leadership role. Strong expertise in programming languages like Python, Java, or similar. In-depth experience in AI/ML development, including working with LLMs. Experience in system design, architecture, and development practices. Strong understanding of software development best practices and agile methodologies. Proven ability to lead teams and mentor junior developers. Experience with cloud platforms (AWS, Azure, GCP) Interested candidate can mail their CV's at resume@zestpire.com with the details of the CTC, Notice Period and Location.

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description We are looking for a Python Backend Engineer with exposure to AI engineering to join our team in building a scalable, cognitive data platform. This platform will crawl and process unstructured data sources, enabling intelligent data extraction and analysis. The ideal candidate will have deep expertise in backend development using FastAPI, RESTful APIs, SQL, and Azure data technologies, with a secondary focus on integrating AI/ML capabilities into the product. Core Responsibilities Design and develop high-performance backend services using Python (FastAPI). Develop RESTful APIs to support data ingestion, transformation, and AI-based feature access. Work closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases. Manage database schemas, write complex SQL queries, and support ETL processes using Python-based tools. Build secure, scalable, and production-ready services following best practices in logging, authentication, and observability. Implement background tasks and async event-driven workflows for data crawling and processing. AI Engineering Contributions : Support integration of AI models (NLP, summarization, information retrieval) within backend APIs. Collaborate with AI team to deploy lightweight inference pipelines using PyTorch, TensorFlow, or ONNX. Participate in training data pipeline design and minor model fine-tuning as needed for business logic. Contribute to the testing, logging, and monitoring of AI agent behavior in production environments. Qualifications 3+ years of experience in Python backend development, with strong experience in FastAPI or equivalent frameworks. Solid understanding of RESTful API design, asynchronous programming, and web application architecture. Proficiency in working with relational databases (e.g., PostgreSQL, MS SQL Server) and Azure cloud services. Experience with ETL workflows, job scheduling, and data pipeline orchestration (Airflow, Prefect, etc.). Exposure to machine learning libraries (e.g., Scikit-learn, Transformers, OpenAI APIs) is a plus. Familiarity with containerization (Docker), CI/CD practices, and performance tuning. A mindset of code quality, scalability, documentation, and collaboration. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

Strong hands-on experience in Generative AI / LLMs / NLP (OpenAI, LangChain, Hugging Face, etc.). Proficiency in Python for AI/ML model development and backend integration. Experience with React JS for building frontend applications. Familiarity with REST APIs, CI/CD, and agile environments. Solid understanding of data structures, algorithms, and system design. Skills:- Python, Generative AI and React.js

Experience-5+years Notice Period-30days or Early Joiners Must have Skills-LLM, Advance RAG, NLP, transformer model, LangChain Please send resume to umaparvathyC@hexaware.com Job Description: Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks: TensorFlow, PyTorch, Keras Generative AI Models: GANs, VAEs, Transformers Agentic AI Tools: OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries: NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries: OpenCV, TensorFlow, PyTorch Secondary Skills Expertise in building, deploying, and fine-tuning natural language understanding, questioning, and semantic reasoning systems. Experience in improving and fine-tuning model performance and implementing new technologies. Data pipelines, Data Analytics

Job Summary: We are looking for a highly motivated and technically proficient Prompt Engineer with a strong software development background to join our AI/ML team. The ideal candidate will specialize in building and optimizing interactions with Large Language Models (LLMs), particularly using Prompt Engineering techniques and Retrieval-Augmented Generation (RAG). You will play a key role in designing intelligent solutions involving NLP, Generative AI, Data Extraction, and GPT models, and will collaborate with cross-functional teams to deploy scalable AI solutions. Key Responsibilities: Design, develop, and optimize prompts for LLMs including OpenAI GPT models for a variety of use cases. Build end-to-end applications using frameworks like LangChain and integrate them with Azure OpenAI services. Develop and implement RAG pipelines for improved contextual responses using internal and external data sources. Perform data extraction and NLP preprocessing from structured and unstructured sources. Work closely with Data Scientists, ML Engineers, and Developers to deploy AI/ML features in production environments. Evaluate prompt performance, iterate rapidly, and apply best practices in prompt tuning and engineering. Develop RESTful APIs and backend services in Python to support AI-driven applications. Maintain model performance tracking, testing pipelines, and version control for LLM-based solutions. Required Skills & Qualifications: Proven expertise in Python programming, especially with libraries such as transformers, LangChain, and pandas. Hands-on experience with Generative AI, LLMs, and Prompt Engineering. Practical knowledge of RAG (Retrieval-Augmented Generation) techniques. Strong understanding of Natural Language Processing (NLP) and Machine Learning concepts. Familiarity with Azure OpenAI, OpenAI APIs, and other cloud-based LLM providers. Experience working with data extraction tools and techniques for both structured and unstructured data. Solid problem-solving, debugging, and analytical thinking skills. Focus Areas- Python, NLP, Generative AI, RAG, Prompt Engineering, LangChain, LLMs, Azure OpenAI, Data Extraction, GPT models, Software Developer, AI/ML Engineer, AI Specialist, Data Scientist Share your resume on Aarushi.Shukla@Coforge.com if you are an early or immediate joiner. Subject Line should be- Prompt Engineer + (Years of exp) + Notice Period

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

AIML Engineer - MBM Relevant Experience: 5+ Years Location: Bangalore/Pune Employment Type: Full-time Shape the Future with Generative AI Are you passionate about harnessing cutting-edge Generative AI to create transformative real-world applications? Do you dream of building autonomous systems that learn, adapt, and make decisions independently? At Maersk, we’re reimagining how businesses solve complex problems with the power of Generative AI and Autonomous Agents. We’re looking for a AI/ML Engineer to join our dynamic team and play a pivotal role in building AI solutions that will define the future of intelligent systems. If you're excited about applying your expertise to projects that disrupt industries and drive measurable impact, we want to hear from you! This is an exciting opportunity for self-motivated engineers with technical expertise, creative problem-solving skills, and a talent for disruptive process transformation using AI/ML. What you'll do: Lead with autonomy: Take ownership of AI/ML projects from ideation to deployment, pushing boundaries of innovation. Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity. Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT. Innovate with LLM’s: Build & optimize LLM’s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks. Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB) and LLM APIs (OpenAI, Anthropic, Hugging Face, Mistral, Llama). Collaborate for impact: Partner with cross-functional teams to integrate AI solutions into real-world applications like chatbots, copilots, automation tools, etc.). Stay ahead: Perform continuous research on state-of-the-art AI methodologies, exploring advancements in Generative AI, Autonomous Agents, and NLP to drive innovation. Required Skills & Qualifications [Must have] Strong foundation in Machine Learning & Deep Learning with expertise in neural networks, optimization techniques and model evaluation. Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps. Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models. Nice-to-have Skills Experience with Prompt Engineering, Fine-tuning, and RAG techniques. Familiarity with Cloud Platforms (AWS, GCP, Azure) and deployment tools like Docker, Kubernetes, FastAPI, or Flask. Why Join Us: Innovate at scale: Work on groundbreaking Generative AI technologies that redefine what’s possible. Transform industries: Your work will directly impact how global organizations drive productivity and solve complex supply chain challenges. Collaborate with the best: Join a team of forward-thinking engineers, researchers, and product visionaries who are shaping the future of AI. Accelerate your growth: Enjoy opportunities to learn, grow, and lead in a fast-paced, innovation-driven environment. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Role Summary 1. Demonstrate solid proficiency in Python development, writing clean, maintainable code. 2. Collaborator in the design and implementation of AI-driven applications leveraging large language models (LLMs). 3. Develop and maintain Django-based RESTful APIs to support backend services. 4. Integrate with LLM provider APIs (e.g., GPT, Claude, Cohere) and agent frameworks (LangChain, AgentStudio). 5. Build and optimize data pipelines for model training and inference using Pandas, NumPy, and Scikit-learn. 6. Ensure robust unit and integration testing via pytest to maintain high code quality. 7. Participate in agile ceremonies, contributing estimations, design discussions, and retrospectives. 8. Troubleshoot, debug, and optimize performance in multi-threaded and distributed environments. 9. Document code, APIs, and data workflows in accordance with software development best practices. 10. Continuously learn and apply new AI/ML tools, frameworks, and cloud services. Key Responsibilities 1. Write, review, and optimize Python code for backend services and data science workflows. 2. Design and implement Django REST APIs, ensuring scalability and security. 3. Integrate LLMs into applications: handle prompt construction, API calls, and result processing. 4. Leverage agent frameworks (LangChain, AgentStudio) to orchestrate complex LLM workflows. 5. Develop and maintain pytest suites covering unit, integration, and end-to-end tests. 6. Build ETL pipelines to preprocess data for model training and feature engineering. 7. Work with relational databases (PostgreSQL) and vector stores (FAISS, Weaviate, Milvus). 8. Containerize applications using Docker and deploy on Kubernetes or serverless platforms (AWS, GCP, Azure). 9. Monitor and troubleshoot application performance, logging, and error handling. 10. Collaborate with data scientists to deploy and serve ML models via FastAPI or vLLM. 11. Maintain CI/CD pipelines for automated testing and deployment. 12. Engage in technical learning sessions and share best practices across the team. Desired Skills & Qualifications - 1–3 years of hands-on experience in Python application development. - Proven pytest expertise, with a focus on test-driven development. - Practical knowledge of Django (or FastAPI) for building RESTful services. - Experience with LLM APIs (OpenAI, Anthropic, Cohere) and prompt engineering. - Familiarity with at least one agent framework (LangChain, AgentStudio). - Working experience in data science libraries: NumPy, Pandas, Scikit-learn. - Exposure to ML model serving tools (MLflow, FastAPI, vLLM). - Experience with container orchestration (Docker, Kubernetes, Docker Swarm). - Basic understanding of cloud platforms (AWS, Azure, or GCP). - Knowledge of SQL and database design; familiarity with vector databases. - Eagerness to learn emerging AI/ML technologies and frameworks. - Excellent problem-solving, debugging, and communication skills. Education & Attitude - Bachelor’s or Master’s in Computer Science, Data Science, Statistics, Mathematics, or related field. - Growth-mindset learner: proactive in upskilling and sharing knowledge. - Strong collaboration ethos and adaptability in a fast-paced AI environment.

About This Role Wells Fargo is seeking a Senior Software Engineer within the Enterprise Core Infrastructure Services (CIS) under CTO Organization focused on enabling the Next generation Gen AI solutions on public cloud platforms. In This Role, You Will Write, develop, and deploy Terraform code and modules for infrastructure as code to provision and manage Gen-AI services on GCP, Azure, and OpenAI platforms, ensuring production-ready deployments. CIS CTO is a key contributor in delivering and automating the provisioning of Cloud Infrastructure using Infrastructure as a Code for the cutting-edge Gen-AI services such as Agentic Solutions, Agentic Development Frameworks (ADK), Agentic-to-Agentic (A2A) services, MCP (Model Control Protocol) framework and the associated LLM models in Azure and GCP Clouds. Enable and optimize infrastructure for agentic AI frameworks, including A2A protocols (e.g., Google's proposed frameworks) and Model Control Protocol (MCP). Leverage expertise in large language models (LLMs) such as GPT-4, Google-based models (e.g., Gemini), and Anthropic-based models to support financial services applications. Collaborate with cross-functional teams to integrate Gen-AI solutions into financial platforms, ensuring alignment with business needs. Ensure scalability, security, and performance of cloud-based Gen-AI infrastructure. Mentor junior engineers and contribute to technical strategy for Gen-AI initiatives. Understanding of industry best practices and new technologies, influencing and contributing as part of the technology team to meet deliverables and work on new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Build and Enable cloud infrastructure, automate the orchestration of the entire GCP/Azure Cloud Platforms for Wells Fargo Enterprise. Working in a globally distributed team to provide innovative and robust Cloud centric solutions. Closely working with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3+ years working with GCP and a proven track record of building complex infrastructure programmatically with IaC tools. Having at least 2+ years of experience in Azure Cloud delivering Enterprise production grade services and solutions is a huge plus. Must have 2+ years of hands-on experience with Infrastructure as Code tool Terraform and GitHub. Must have professional cloud certification on GCP and or Azure Infrastructure and automation technologies: Orchestration, Harness, Terraform, API development, Test Driven Development Sound knowledge on the following areas with an expertise on one of them - Should have a good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to cloud security, AD, authentication methods, RBAC. Proficient and have a thorough understanding of Cloud service offerings on Data, Analytics, AI/ML. Exposure to Analytics AIML services like BigQuery, Vertex AI, Azure AI, OpenAI, Azure Machine Learning etc. Proficient with GCP services like Vertex AI Suite , Agent Builder, Vector Search,DialogFlow,Workbench etc Proficient with GCP Predictive AI services ML Pipelines, Model serving Proficient with GCP Generative AI services , LLMs ,RAG , Reasoning engine,Valuation etc Thorough understanding and handson for GCP Agent space NotebookLM Proficient and have a thorough understanding of Cloud service offerings on Security, Data Protection and Security policy implementation Thorough understanding of landing zone and networking, Security best practices, Monitoring and logging, Risk and controls. Experience working in Agile environment and product backlog grooming against ongoing engineering work Enterprise Change Management and change control, experience working within procedural and process driven environment Desired Qualifications: Deep expertise in GenAI, agentic frameworks, A2A protocols, and MCP, with hands-on experience in LLMs (e.g., GPT-4, Google Gemini, Anthropic Claude). Advanced proficiency in writing Terraform code and modules for infrastructure as code on GCP, Azure with a focus on production deployment. Should have exposure to Cloud governance and logging/monitoring tools. Experience with Agile, CI/CD, DevOps concepts and SRE principles. Experience in scripting (Shell, Python, Go) Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure. Delivery focus and willingness to work in a fast-paced, enterprise environment. Posting End Date: 31 Jul 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-472121

Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry. We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today's digital era. Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate. As we embark on an exciting journey of growth and expansion, we are seeking a talented Data Scientist to join our AI team in Hyderabad, India. As a Senior Data Scientist II , you will architect and develop complex AI applications, lead strategic technical initiatives, and mentor other data scientists and engineers to build next-gen AI capabilities. You will own high-impact projects and work with cross-functional teams to design, build, and maintain scalable, high-performance models and AI applications that deliver exceptional value to our customers. This position offers a unique opportunity to make an impact on our company's growth and success by bringing AI-powered features to life across our platform, including content discovery, learning and coaching, meeting intelligence and various AI capabilities. This is a hands-on, high-ownership role ideal for a senior individual contributor ready to scale AI in production. Seismic AI AI is one of the fastest-growing product areas in Seismic. We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers. Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud. Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes. Why Join Us Opportunity to be a key contributor in a rapidly growing company and drive innovation in the SaaS industry. Work with cutting-edge technologies and be at the forefront of AI advancements. Competitive compensation package, including salary, bonus, and equity options. A supportive, inclusive work culture. Professional development opportunities and career growth potential in a dynamic and collaborative environment. At Seismic, we’re committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page. Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Careers page. Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale. The Seismic Enablement Cloud™ is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships. Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth. Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia. Learn more at seismic.com. Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here. Key Responsibilities AI Application Development: Architect and develop robust and scalable data science and AI applications, including NLP, classification, retrieval-augmented generation (RAG), and conversational/agentic, and multi-agent systems. Mentorship and Leadership: Mentor and coach junior and mid-level data scientists and engineers, promoting technical excellence and knowledge sharing across the team. Model Optimization: Design and implement high-performance machine learning models and pipelines. Continuously improve latency, robustness, accuracy, and scalability. Innovation and Technology Adoption: Evaluate and implement new tools, frameworks, and methodologies to improve the efficiency and quality of AI systems. Product Integration: Collaborate with AI engineers, software engineers, and product managers to seamlessly integrate AI features across Seismic’s products. Cross-functional Collaboration: Partner with UX, engineering, and product teams to design end-to-end intelligent experiences for our users. Decision-making and Ownership: Take ownership of complex decisions within your domain and contributing to goal-setting and strategy. Experience Bachelor’s degree and 8+ years of experience, or an advanced degree (Master’s or PhD) with 6+ years of industry experience in data science or AI. Technical Expertise Deep knowledge of AI and data science, including Generative AI, LLMs (OpenAI, Azure, Google, open-source), RAG pipelines, prompt engineering, NLP, and image models. Strong proficiency in Python, along with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. Hands-on experience with HuggingFace, LangChain, and cloud-native AI services. Cloud Expertise Experience with AWS, Azure, or GCP for model training, deployment, and data workflows. Familiarity with MLOps and model lifecycle management in production environments. Product Thinking Ability to translate complex business challenges into technical solutions that scale. Experience in collaborating with product management and design in a product triad model. Proven track record of delivering AI-powered features from concept to production. Education Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Other Skills Excellent communication and collaboration skills. Strong decision-making ability and a thoughtful, data-driven approach to solving problems. Experience working in a fast-paced SaaS or tech-driven environment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here. Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement , backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price. Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly. Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft. Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Lead Sofware Engineer - Simulations(with ML Background) - Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a Lead Software Engineer with deep experience in simulation systems and a solid foundation in machine learning to lead the architecture and development of our next-generation simulation and digital twin platforms. This role blends technical leadership with hands-on engineering, guiding the design of simulation systems that model real-world environments and power intelligent, ML-driven decision-making. You’ll be responsible for leading simulation efforts that generate actionable insights, synthetic data, and predictive capabilities — while also influencing how ML models are built, trained, and deployed within these environments. What I'll be doing – your accountabilities/responsibilities? Architect and lead simulation platforms that model complex systems across time, agents, and interactions. Bridge simulation systems with ML workflows: data generation, model training/testing, reinforcement learning, etc. Define system architecture, technology choices, and software patterns for scalable, high-performance simulation and ML integration. Collaborate with ML engineers, data scientists, and domain experts to enable closed-loop simulations for forecasting, optimization, and control. Lead cross-functional engineering efforts across simulation, data, and ML infrastructure teams. Mentor engineers across disciplines, setting technical standards and fostering a high-performance culture. Own end-to-end delivery of simulation-enabled intelligent systems — from ideation to production. Develop and optimize algorithms for discrete-event simulation, agent-based modeling. Support scenario testing, what-if analysis, and optimization workflows using simulation outputs. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Foundational /Must Have Skills Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field. 12+ years of software engineering experience, with 3+ years leading teams or major initiatives. Demonstrated experience in simulation platforms (e.g., SimPy, Mesa, CARLA, Unity, AnyLogic, or custom-built engines). Strong programming skills in Python (required); additional languages like C++, Rust, or Julia are a plus. Deep understanding of ML principles — model pipelines, data engineering, evaluation, and deployment. Experience working with synthetic data, simulators for ML training/testing, or RL environments (e.g., OpenAI Gym, Isaac Sim, Unity ML-Agents). Solid grasp of software architecture, distributed systems, and CI/CD pipelines. Preferred To Have Experience with reinforcement learning, decision-making under uncertainty, or control systems. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and MLOps tools (e.g. MLflow, Weights & Biases). Background in simulation-heavy domains such as robotics, logistics, autonomous systems. Familiarity with cloud infrastructure (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Strong communication and cross-functional leadership skills — able to align engineers, ML teams, and product stakeholders. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Senior Software Engineer – Back end and Inferencing– Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a Senior Software Engineer with deep backend expertise to lead the development of scalable infrastructure for LLM inferencing, Model Context Protocol (MCP) integration, Agent-to-Agent (A2A) communication, prompt engineering, and robust API platforms. This role sits at the core of our AI systems stack — enabling structured, contextual, and intelligent communication between models, agents, and services. You'll design modular backend services that interface seamlessly with inferencing engines, orchestrate model contexts, and expose capabilities via APIs for downstream products and agents. What I'll be doing – your accountabilities? Architect and implement backend services that support dynamic model context management via MCP for LLM-based systems. Build scalable and token-efficient inference pipelines with support for streaming, context merging, memory, and retrieval. Enable Agent-to-Agent (A2A) messaging and task coordination through contextual protocols, message contracts, and execution chains. Design and maintain developer-friendly, secure, and versioned APIs for agents, tools, memory, context providers, and prompt libraries. Lead efforts in prompt engineering workflows including templating, contextual overrides, and programmatic prompt generation. Collaborate across engineering, ML, and product teams to define and implement context-aware agent systems and inter-agent communication standards to enable closed-loop enterprise AI Services ready for consumption by the enterprise. Own end-to-end delivery of infrastructure, inferencing, back-end, API and communication management in multi-agent system. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Foundational / Must Have Skills Bachelor’s, Master’s or Phd in Computer Science, Engineering, or related technical field. 8+ years of experience in backend systems design and development — ideally in AI/ML or data infrastructure domains. Strong proficiency in Python (FastAPI preferred); additional experience with Node.js, Go, or Rust is a plus. Experience with LLM inferencing pipelines, context windowing, and chaining prompts with memory/state persistence. Familiarity with or active experience implementing Model Context Protocol (MCP) or similar abstraction layers for context-driven model orchestration. Strong understanding of REST/GraphQL API design, OAuth2/JWT-based auth, and event-driven backend architectures. Practical knowledge of Redis, PostgreSQL, and one or more vector databases (e.g., Weaviate, Qdrant). Comfortable working with containerized applications, CI/CD pipelines, and cloud-native deployments (AWS/GCP/Azure). Preferred To Have Experience building or contributing to agent frameworks (e.g., LangGraph, CrewAI, AutoGen, Agno etc.). Background in multi-agent systems, dialogue orchestration, or synthetic workflows. Familiarity with OpenAI, Anthropic, HuggingFace, or open-weight model APIs and tool-calling protocols. Strong grasp of software security, observability (OpenTelemetry, Prometheus), and system performance optimization. Experience designing abstraction layers for LLM orchestration across different provider APIs (OpenAI, Claude, local inference). What You Can Expect Opportunity to lead backend architecture for cutting-edge, LLM-native systems. High-impact role in shaping the future of context-aware AI agent communication. Autonomy to drive backend standards, protocols, and platform capabilities across the org. Collaborative, remote-friendly culture with deep technical peers. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Description The Role: Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required. Build and maintain data analysis workflows using Pandas for data transformation and insight delivery. Develop RESTful APIs using FastAPI or Flask for data and document management. Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows. Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments. Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions. Write unit tests and contribute to CI/CD pipelines for robust, production-ready code. Stay up to date with advances in Python, LLM, and cloud technologies. Qualifications Qualifications: Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline. Experience 6 to 9 years of hands-on experience in data engineering or backend development with Python. Technical Competencies Exposure to LLM integration (prompt design, API integration, handling text data). Strong experience in Python with focus on data analysis (Pandas) and scripting. Hands-on experience in building REST APIs (FastAPI or Flask). Experience in developing data pipelines, data cleaning, and transformation. Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.) (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains. As part of our continued platform evolution and expansion into generative AI, we are looking for a skilled Machine Learning Engineer to join our team. You will be responsible for designing, building, and deploying machine learning models, with a focus on GenAI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and intelligent chatbot integration. Your work will enable rapid development of innovative use cases contextualized to our client's domain, significantly reducing time-to-market and enhancing end-user experience. Key Responsibilities: Design and develop machine learning and generative AI models to enhance platform capabilities, enable intelligent interactions, and support diverse use cases. Implement Retrieval-Augmented Generation (RAG) pipelines for contextual responses based on enterprise data. Integrate LLM-based chatbots with client-specific domain knowledge and data systems to ensure relevance and accuracy. Collaborate with Data Scientists, ML Engineers, and MLOps teams to operationalize models using Azure ML and other cloud-native services. Build and maintain scalable machine learning and RAG pipelines using Azure technologies. Fine-tune pre-trained LLMs and optimize model performance based on business and technical feedback. Continuously evaluate emerging techniques in generative AI, ML, and data science to recommend improvements and innovations. Work in an Agile environment and participate in team ceremonies and stakeholder interactions to align model development with business needs. Required Skills and Experience: 4–9 years of relevant experience in AI/Machine Learning, Data Science, or a related field. Strong proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, etc. Hands-on experience with Azure ML, Azure Cognitive Services, Azure OpenAI, and related Azure data services (e.g., Azure Data Lake, Azure Functions, Azure Search). Experience building and deploying RAG architectures and working with LLMs for enterprise use cases. Understanding of vector databases (e.g., Pinecone, Weaviate, Azure AI Search with Vector Capabilities). Familiarity with chatbot development frameworks and integrating with front-end interfaces. Solid grasp of ML model lifecycle including versioning, monitoring, CI/CD, and MLOps principles. Experience working in collaborative, agile, and fast-paced environments. Databricks Desirable Skills: Familiarity with large-scale data processing using Spark, or similar. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Exposure to domain-specific fine-tuning of LLMs and prompt engineering practices. Strong communication and stakeholder collaboration skills to understand client context and explain technical approaches effectively. Must Have Requirements Strong proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, etc. BFSI Domain Experience

Greetings ! One our our client TOP MNC Giant looking for GEN AI and Machine Learning Engineer's Important Notes: Please share only those profiles who can join immediately or within 7 days. Base Locations: Gurgaon and Bengaluru (hybrid setup 3 days work from office). Role : Associate and Sr Associate L1/L2 (Multiple Positions) SKILLS :  Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.  Experience on Agentic AI/ Frameworks  Strong programming skills in languages such as Python, SQL/NoSQL etc.  Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms  Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.  Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.  Knowledge of math, probability, and statistics.  Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.  Exposure in developing API using Flask/Django.  Good experience in cloud infrastructure such as AWS, Azure or GCP  Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) GOOD TO HAVE : Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus RESPONSIBILITIES : Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.  Develop, implement, and deploy AI/ML solutions.  Preprocess and analyze large datasets to identify patterns, trends, and insights.  Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.  Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.  Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.  Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. INTERESTED CANDIDATES PERFECT MATCH TO THE JD AND WHO CAN JOIN ASAP ONLY DO APPLY ALONG WITH BELOW MENTIONED DETAILS : Total exp : Relevant exp in AI/ ML : Applying for Gurgaon and Bengaluru : Open for Hybrid : Current CTC : Expected CTC : Can join ASAP : Will call you once we receive your updated profile along with above mentioned details. Thanks, Venkat Solti solti.v@anlage.co.in