Senior Software Engineer (Agentic AI)
On-siteBengaluru, Karnataka, India
Job Summary
Build multi-step AI agent pipelines using LangChain or LangGraph to automate lending and compliance workflows. Implement tool-use layers connecting LLMs to internal APIs, bureau data, and regulatory sources. Design RAG pipelines with vector databases for document intelligence and maintain structured prompt outputs with guardrails. Write deterministic tests for non-deterministic agent behavior and instrument services with observability tooling. Containerize and deploy Java backend microservices on AWS using Docker and CI/CD. Contribute to architecture decisions, mentor peers, and ensure audit trails for high-stakes decisions.
Required Qualifications
- 3–5 years of full-stack engineering experience in production environments
- Solid Core Java fundamentals — OOP principles, collections framework, multithreading, and exception handling
- Proficiency in Spring Boot for building scalable REST APIs and microservices
- Hands-on experience integrating LLM APIs: OpenAI, Anthropic, Gemini, or open-source equivalents
- Working knowledge of agent frameworks — LangChain, LangGraph, AutoGen, or similar
- Familiarity with vector databases and RAG pipeline design
- Experience with PostgreSQL, Redis, and cloud-native AWS services (Lambda, S3, ECS)
- Comfortable with Docker and CI/CD pipelines
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