Senior GenAI / AI Backend Engineer

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
• Strong 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, vector databases, prompt engineering, and function/tool calling
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent LLM platforms

Messaging & Integration

• Strong hands-on experience with Apache Kafka
• Kafka producers, consumers, topics, partitions, consumer groups, and event-driven architecture
• Experience integrating Kafka with Python/Java/Spring Boot applications

Cloud & DevOps

• Exposure to AWS / Azure / GCP
• Docker and Kubernetes knowledge
• CI/CD pipelines and Git
• Experience deploying production-grade AI applications

Preferred Skills

• Experience building Agentic AI / Multi-Agent systems
• Knowledge of FastAPI
• Experience with PostgreSQL, MongoDB, Redis, or similar databases
• Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, or Google Vertex AI
• Knowledge of observability, LLM evaluation, guardrails, and AI security
• Experience working on enterprise-scale GenAI implementations

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field .

Ideal Candidate

The ideal candidate is a strong Python + Java backend engineer who has transitioned into Generative AI/Agentic AI development , with practical experience using LangGraph, LLMs, Spring Boot, and Kafka to build production-grade enterprise solutions.

Keywords: Python | Java | Spring Boot | LangGraph | LangChain | LLM | GenAI | Agentic AI | RAG | Kafka | FastAPI | Microservices | REST API | OpenAI | Azure OpenAI | Vector Database | AWS | Azure