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Mid-level experience range and metro location increase competition, but niche LLM production skills reduce applicant density.
LLM production, RAG, and governance skills are transferable but require specific AI systems experience.
Explicit 3–7 years plus mandatory LLM production experience and Python/TypeScript make filters strict.
Design and deploy production-level LLM applications such as RAG platforms, copilots, document intelligence, and agents for enterprise clients.
Develop evaluation suites to gate AI releases based on accuracy, safety, latency, and cost metrics.
Engineer secure data boundaries and integrate AI systems into enterprise workflows with governed, least-privilege interfaces.
3+ years of software engineering experience with strong Python or TypeScript skills.
Experience shipping LLM features beyond prototypes, including retrieval, orchestration, and evaluation.
Working knowledge of embeddings, vector stores, and prompt/context engineering.
Work Experience Required: 3+ years. Notice period: Not explicitly mentioned in the JD.
Engineer focused on production-grade AI solutions emphasizing system reliability, evaluation, and governance.
Experienced delivering complex LLM-based features in enterprise environments, prioritizing correctness over model selection.
Capable of clear technical communication, producing design documentation understandable by client architects.