Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home

Full Stack Engineer AI Systems Artificial Intelligence (AI) Required Work From Home

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 :

Full Stack Engineer 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 NoSQL OpenAI Claude Open Source LLM Python Pytorch RAG Systems and SQL.

Benefits include medical insurance Dental Vision Savings Plan Options PTO etc.

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Additional Information :

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Remote Work :

Yes

Employment Type :

Full-time