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Mid-level AI engineer in Bangalore with broad requirements and VC backing creates high applicant competition.
Specialized agent, retrieval, and prompt engineering skills reduce cross-industry transferability.
Multiple mandatory AI production, LangChain, RAG, and 4+ years requirements enforce strict shortlisting.
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Own and build the end-to-end AI intelligence layer powering Figr's AI product agent, focusing on context, retrieval, agent orchestration, and performance.
Design, optimize, and monitor AI architectures and pipelines for model routing, caching, and token optimization ensuring cost, latency, reliability, and quality targets.
Collaborate with leadership to shape AI strategy, evaluation frameworks, and improve AI user experience in production environments.
4+ years of software engineering experience with strong Python skills.
Proven experience building and deploying AI agents in production for real users.
Hands-on experience with LangGraph, LangChain, agent orchestration, retrieval-augmented generation (RAG) systems, FastAPI, and asynchronous programming.
Work From Office requirement in HSR Layout, Bengaluru; experience as an early or founding engineer in a startup is a strong plus.
Experienced in full-stack AI engineering with strengths in building scalable, production-grade AI agents and retrieval systems.
Comfortable driving technical decisions and AI strategy in a fast-paced startup environment with direct collaboration with CTO.
Strong expertise in context engineering, prompt engineering, and AI infrastructure optimization to deliver differentiated AI product capabilities.