Job Summary:

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and deploy production-grade AI agents for enterprise financial automation. The ideal candidate will have solid Python programming skills and practical experience building LLM applications, agentic workflows, and RAG pipelines.

This is a hands-on product engineering role, focused on building recent solutions rather than production support or maintenance alone.

Key Responsibilities:
Design and develop production AI agents using LangChain and LangGraph.
Build multi-step agent workflows with tool calling, state management, and human-in-the-loop approvals.
Integrate Azure OpenAI, OpenAI, Claude, Gemini, or other LLM providers.
Develop RAG pipelines using embeddings, vector search, and vector databases.
Build scalable AI services and APIs using Python and FastAPI.
Implement prompt versioning, evaluation frameworks, guardrails, and fallback mechanisms.
Monitor and evaluate agent performance using Langfuse or equivalent observability tools.
Optimize token usage, latency, reliability, and response quality.
Deploy AI applications using Docker, Kubernetes, and CI/CD pipelines.
Ensure traceable, structured, and auditable agent actions.





Mandatory Skills:
Solid Python programming and independent coding skills.
3+ years of hands-on production LLM/GenAI application development.
Practical experience with LangChain and LangGraph.
Production AI agent development and tool/function calling.
RAG pipelines and vector databases such as pgvector, Pinecone, Qdrant, Weaviate, or FAISS.
Experience integrating LLM APIs such as Azure OpenAI, OpenAI, Claude, or Gemini.
FastAPI or equivalent Python API framework.
Experience with LLM evaluation, observability, guardrails, and error handling.

Good to Have:
MCP, A2A, AutoGen, CrewAI, Google ADK, or Semantic Kernel.
PostgreSQL, Docker, Kubernetes, and Azure DevOps CI/CD.
Financial domain experience and familiarity with SOX/GDPR audit requirements.

Candidate Profile:

We are looking for engineers who have independently written, debugged, tested, and deployed production code. Candidates whose experience is primarily production support, monitoring, prompt experimentation, or AI-assisted code generation without strong coding ownership may not be suitable

📌 Senior Ai/ml Engineer Bengaluru (India)
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