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Remote, metro Bengaluru role with a popular AI title and high visibility increases applicant competition.
LLM engineering skills are broadly transferable, but adtech product and scale requirements add moderate specificity.
Requires proven production LLM shipping, RAG/embeddings, and production observability, so filters are strict.
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Design, build, and deploy production-grade LLM-powered AI features integrated within the Kayzen Console and backend services.
Develop full-stack product functionality across backend APIs, user-facing features, and LLM orchestration layers.
Implement evaluation, monitoring, and feedback systems for AI features to optimize quality, latency, reliability, and inference costs.
Hands-on experience building and shipping LLM-powered features to production, including RAG, embeddings, vector search, or agentic systems.
Strong software engineering skills with capability in full-stack development using technologies like Angular, JavaScript/TypeScript, Python, NodeJS.
Experience with designing APIs, backend services, and production-grade distributed systems.
Work Experience Required: Not explicitly mentioned in the JD.
Engineer with demonstrated ability to ship and maintain production LLM systems, comfortable working across backend and frontend product stacks.
Experience working in a fast-paced, ambiguous startup environment with a focus on shipping pragmatic AI solutions and iterating based on telemetry and user feedback.
Skilled in collaborating closely with Product, ML, and Engineering teams to translate complex AI problems into practical, maintainable software features.