Full Stack Engineer, AI Systems

Role Description

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. This position is 100% Remote.

Full Stack Engineer 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.

Full Stack Engineer 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.

Qualifications

• Strong experience in Full Stack Engineering (Frontend and Backend).
• Artificial Intelligence (AI) experience required.
• 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: AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL.

Benefits

• Medical insurance
• Dental
• Vision
• Savings Plan Options
• PTO

Compensation

USD 140,000 - USD 190,000 yearly