





Metro Bengaluru, mid-level AI engineer, strong startup backing, generalist agent/RAG skills increase applicant competition.
Role requires specialized ML agent, RAG, and prompt engineering skills, limiting cross-industry transferability.
Explicit 4+ years and mandatory production AI agent, LangChain/LangGraph, RAG and FastAPI expertise create stringent filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and build the AI intelligence layer end-to-end for Figr’s AI product agent, including context, retrieval, memory, reasoning pipelines, and agent orchestration.
Optimize AI model performance for cost, latency, reliability, and quality while improving evaluation frameworks for subjective AI workflows.
Collaborate with CTO to shape AI strategy, architecture, and technical roadmap; monitor and enhance production AI systems and user experience.
4+ years software engineering experience with strong Python expertise.
Proven experience building and deploying AI agents in production for real users.
Hands-on with LangGraph, LangChain, agent orchestration, RAG and retrieval systems, FastAPI, asynchronous programming, and scalable backend systems.
Work Location: Bangalore (HSR Layout), Work from office 5 days a week.
Experience as an early or founding engineer in startups, comfortable with high ownership and fast-paced environments.
Deep expertise in AI agent architecture, prompt & context engineering, model routing, caching, and AI infrastructure optimization.
Strong collaborator capable of working closely with leadership (CTO) on product and technical decisions to drive long-term AI differentiation.