Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations

Your Role
Lead design and development of scalable Java-based applications using Spring Boot and Microservices architecture
Own and drive end-to-end system architecture, including design decisions, trade-offs, and governance
Lead legacy modernization and transformation initiatives, including cloud migration and re-architecture programs
Maintain robust hands-on involvement in coding, including code reviews, refactoring, debugging, and performance optimization
Integrate Generative AI capabilities across the SDLC (design, development, testing, and code review)
Design and implement enterprise-grade GenAI solutions leveraging LLMs and AI frameworks
Build AI-native systems using RAG, vector databases, agentic workflows, and orchestration frameworks (e.g., LangChain,



Semantic Kernel)
Establish reusable patterns and architectures for GenAI adoption beyond tools like Copilot
Define and enforce enterprise guardrails, including security, responsible AI, observability, and DevOps practices
Drive engineering excellence and standardization across teams
Mentor developers and architects, enabling organization-wide adoption of AI and up-to-date engineering practices
Collaborate with cross-functional teams to translate business requirements into scalable technical solutions

Your Profile
Solid hands-on experience with Java (Java 11+)
Spring Boot, Spring MVC, Spring Security
Microservices and distributed systems
REST APIs, JSON, OAuth2/JWT
Hands-on experience with LLMs and GenAI frameworks
RAG architectures, embeddings, vector databases (Pinecone, FAISS, Azure AI Search, etc.)
Prompt engineering and AI workflow design
Understanding of

📌 Java Agentic Ai Tech Lead Pune
🏢 Capgemini
📍 Pune