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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.