Full Stack Engineer AI Systems

Full Stack Engineer AI Systems 

We are looking for a Full Stack Engineer – AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users.

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

• Strong 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

• Strong ownership – able to take features from idea to production

• Comfort working in fast-moving environments with evolving requirements

Outcomes

• Own and ship AI-native 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