Full Stack Engineer - AI Systems

Focus

•            Build end-to-end product features across frontend, backend, and AI integrations

•            Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.

•            Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions

•            Design real-time AI interactions with streaming, partial results, and tight latency constraints

•            Improve system reliability, observability, and fallback mechanisms

•            Collaborate closely with ML, backend, and product teams to ship features end-to-end

•            Continuously iterate based on real usage and failure modes

 Ideal Experiences

•            Experience in full stack engineering (frontend + backend)

•            Solid understanding of system design and API architecture

•            Experience working with LLMs, RAG systems, or AI-powered applications

•            Ability to handle ambiguity and make pragmatic engineering decisions

•            Ownership - able to take features from idea to production

•            Comfort working in fast-moving environments with evolving requirements

 

Outcomes

•            Own and ship AInative product features that move beyond chat into persistent, goal-driven workflows

•            Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions

•            Reduce latency and improve responsiveness of AI interactions while maintaining output quality

•            Build robust fallback and recovery mechanisms for LLM and tool failures in production environments

•            Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring

•            Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems

•            Contribute to a product experience where AI feels proactive, consistent, and dependable over time

 

Tech Stack

•            Next.js

•            Python

•            NodeJs

•            Pytorch

•            OpenAI / Anthropic / open-source LLMs

•            SQl & noSQL

•            Kubernetes

•            Docker