GEN AI Developer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Location: Bangalore

Experience: 4 - 9 years

Choosing Capgemini means choosing a place where you'll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what's possible. Join us in building next-generation AI solutions that drive innovation, automation, and productivity across engineering and enterprise domains.

As a GenAI E2E Engineer, you will be responsible for designing, developing, and deploying end-to-end GenAI pipelines. You'll work on real-world applications of AI, leveraging tools like GitHub Copilot, OpenAI, and LangChain to enhance development workflows and build intelligent systems across domains such as code generation, automation, and virtual assistants.

• Design, develop, and deploy GenAI models across domains including text, image, and code generation.
• Build and optimize full machine learning pipelines—from data preprocessing and model training to deployment and monitoring.
• Use AI-powered tools like GitHub Copilot and OpenAI to accelerate development and boost engineering productivity.
• Apply GenAI/ML for use cases such as summarization, workflow automation, smart troubleshooting, and adaptive testing.
• Develop solutions using Python, Pandas, SQL, Sklearn, LangChain, FastAPI, Flask, and REST APIs.
• Work with GenAI technologies including LLMs, NLP, Hugging Face, RAG, and Agentic AI.
• Integrate AI with platforms like Webex, Zoom, and Teams via APIs.
• Utilize CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and test frameworks (Pytest).
• Leverage monitoring tools such as Prometheus, Grafana, and ELK Stack.
• Collaborate in Agile/Scrum environments and contribute to mentoring and team development.

• 3+ years of experience in designing, developing, and deploying GenAI/ML solutions.
• Strong programming skills in Python and experience with automation and data processing.
• Hands-on experience with GenAI tools and frameworks including LangChain, Hugging Face, and OpenAI models.
• Proficient in using GitHub Copilot and other AI coding assistants.
• Experience with cloud platforms and deploying scalable AI solutions.
• Skilled in system design using LLMs, NLP, and AI/ML for software and networking applications.
• Strong problem-solving, communication, and mentoring skills.
• Familiarity with Agile methodologies and QA best practices.

• Flexible work hours and remote work options.
• Inclusive culture that values innovation, collaboration, and continuous learning.
• Opportunities to work on cutting-edge technologies and impactful projects.

Capgemini is a leader in AI-driven transformation, helping organizations harness the power of GenAI and machine learning to drive innovation and operational excellence. With a global team of experts, we deliver intelligent solutions that shape the future of engineering and enterprise productivity.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.