Full Stack Engineer, AI Systems
COMPANY OVERVIEW:
There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. This company’s mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organizing and workflows, with minimal prompting.
Their product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. The objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.
The best products today in the world were built by small, world class teams. This is a high talent density and hands-on team. They make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining the team requires the ability to bring structure, exercise judgment, and execute independently. The goal is to put in hands of users a truly magical product.
POSITION OVERVIEW:
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.
RESPONSIBILITIES:
- 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
PREFERRED PROFILE:
- 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
TECH STACK:
- Next.js
- Python
- NodeJs
- Pytorch
- OpenAI / Anthropic / open-source LLMs
- SQl & noSQL
- Kubernetes
- Docker
DESIRED 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
LOCATION: Remote
Job ID# 3635085
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