Senior GenAI / AI Backend Engineer
Experience: 5–8+ Years
Location: Bangalore / Hybrid
Employment Type: Full-Time
Joining: Immediate Joiners Preferred
Job Summary
We are looking for a Senior GenAI / AI Backend Engineer with strong expertise in Python, Java, Spring Boot, LLMs, and LangGraph to design and develop scalable AI-powered enterprise applications. The ideal candidate should have hands-on experience building LLM-based applications, AI agents, RAG pipelines, and microservices integrated with enterprise systems.
Key Responsibilities
Design and develop GenAI and Agentic AI applications using Python, LLMs, and LangGraph.
Build scalable backend services and microservices using Python/FastAPI and Java/Spring Boot.
Develop and integrate LLM-powered applications, AI agents, RAG pipelines, and conversational solutions.
Implement agent workflows, tool calling, memory, orchestration, and human-in-the-loop capabilities using LangGraph.
Work with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or Gemini.




Design event-driven architectures using Apache Kafka for real-time data processing and AI workflows.
Develop REST APIs and integrate AI services with enterprise applications.
Implement prompt engineering, embeddings, vector search, context management, and LLM evaluation.
Work with databases and vector databases such as PostgreSQL, MongoDB, pgvector, Pinecone, or FAISS.
Ensure applications are secure, scalable, reliable, and production-ready.
Collaborate with architects, developers, product teams, and business stakeholders to deliver enterprise AI solutions.
Required Technical Skills
Programming
Strong proficiency in Python
Strong experience with Java
Hands-on experience with Spring Boot
Robust knowledge of REST APIs, microservices, asynchronous programming, and distributed systems
Generative AI / LLM
Hands-on experience with LLMs and Generative AI
Experience with LangGraph
Knowledge of LangChain or similar agentic AI frameworks
Experience with RAG, embeddings, vect

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