About the Role

We are looking for a Senior AI Engineer who combines strong software engineering fundamentals with hands-on experience shipping LLM-powered products to production. You will design and build AI features for the Kayzen Console and beyond, working across backend services, product-facing functionality, and the LLM layer.

This is a hands-on engineering role. We are not looking for a research-focused ML profile or someone who has only experimented with LLMs. This role is ideal for engineers who have already built, shipped, monitored and improved production LLM systems and is comfortable contributing in a full-stack product environment .

Responsibilities

• Architect, develop, and deploy production-grade LLM capabilities within the Kayzen Console
• Build backend services, APIs, and integrations that connect AI capabilities with our product.
• Contribute to product-facing and full-stack functionality where needed.
• Implement production patterns for LLMs, RAG, embeddings, agents, and tool calling.
• Build reusable components and abstractions where they improve engineering velocity and consistency.
• Set up and improve evaluation, observability, monitoring, and feedback loops for AI features.
• Monitor and optimize quality, latency, reliability, and inference cost.
• Troubleshoot production issues and iterate based on telemetry and user feedback.
• Work closely with Product, ML and Engineering to translate product problems into pragmatic AI solutions.
• Prototype quickly, validate ideas, and turn successful experiments into maintainable production systems.

Requirements: 

Hands-on AI / LLM Experience

• Hands-on experience building and shipping LLM-powered features to production.

Practical experience with RAG, embeddings, vector search and/or agentic systems.

• Experience with LLM APIs and orchestration patterns; specific frameworks are less important than strong fundamentals.
• Good understanding of production LLM concerns such as evaluation, observability, failure modes, cost and latency.
• Experience iterating on AI features based on telemetry, evaluation results or user feedback.

Strong Software Engineering / Full-Stack Skills

• Full-stack product development using Angular, JavaScript/TypeScript, Python, NodeJS etc. is a strong plus.
• Strong experience designing APIs, services and production-grade systems.
• Ability to write clean, maintainable code and take ownership from implementation through production.
• Experience contributing across a product stack and willingness to work on both backend systems and user-facing product functionality.
• Comfort working with AWS cloud infrastructure, CI/CD and production environments.