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Tier-1 VC-backed brand, mid-level AI engineer, metro location, and popular title create high competition.
Specialized LLM, agent, and RAG expertise limits transferability across non-AI industries.
Explicit 5+ years plus mandatory LLM, RAG, agent frameworks, and production deployment experience increases strictness.
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Design, build, and maintain production-grade AI systems including multi-agent workflows and LLM-powered services.
Lead technical implementation of complex AI initiatives from discovery through deployment, including backend architecture and API development.
Collaborate with business stakeholders to translate problems into scalable AI solutions and improve engineering practices.
5+ years of experience in software engineering, machine learning engineering, AI engineering, or similar roles.
Strong Python development skills with experience in production system development.
Experience with LLMs, prompting, RAG systems, agentic workflows (LangGraph, LangChain, OpenAI Agents SDK), and API integrations.
Ability to work during IST morning hours for cross-time zone collaboration; work location: India.
Experienced in architecting scalable backend AI services and deployments, with knowledge of cloud platforms (preferably GCP) and containerized applications.
Skilled in debugging, problem-solving, and independently managing projects with influence over technical decisions.
Capable of mentoring junior engineers and driving continuous improvements in engineering standards and documentation.