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Job Description
Structured overview of role & requirementsAbout This Role
Define and implement modular architectures and production-grade systems for stateful AI agents, tool integrations, and LLM applications using Python.
Lead end-to-end production ownership including CI/CD, observability, incident management, and continuous improvements of AI-powered services.
Drive cross-team technical leadership, mentor senior engineers, and oversee evaluation, security, and responsible AI measures including privacy and access controls.
Minimum Requirements
8+ years in software engineering, machine learning engineering, AI engineering, or related fields; 3-4+ years delivering production AI, Generative AI, or LLM-powered systems.
Strong Python development skills with experience in CI/CD, Docker, Git, cloud deployment, and production-quality services.
Hands-on experience with agentic AI frameworks like LangChain or LangGraph, and knowledge of prompt engineering, embeddings, vector search, and relational databases (PostgreSQL or Oracle).
Location requirement: Bengaluru office with hybrid model (3 days in office); Work Experience Required: 8+ years explicitly mentioned.
Ideal Candidate Profile
Proven technical leader comfortable making architectural trade-offs balancing quality, latency, cost, and security in regulated or controls-focused environments.
Experienced in leading cross-functional collaboration across AI, product, engineering, security, and compliance teams globally.
Strong background in building maintainable, tested production-level AI services, with familiarity in agentic workflows, retrieval-augmented generation (RAG), and human-in-the-loop AI patterns.