Full Stack Engineer – AI Role 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