Forward Deployed Fullstack Engineer (AI)

Palo Alto, California, United StatesHybridFull Time$250,000–$350,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

A well-funded startup is seeking a Forward Deployed Fullstack Engineer (AI) to join their team. This customer-focused role involves building and deploying AI-powered features across the full stack, with a strong emphasis on LLM systems, RAG, embeddings, agents, and document processing. You will work directly with customers to integrate AI into their workflows, ensuring reliability, performance, and scalability. The ideal candidate has a proven track record in full-stack AI system deployment, customer-facing engineering, and solid software engineering fundamentals, comfortable in an early-stage environment. This hybrid role is based in Palo Alto.

A well-funded startup with strong enterprise traction is building a category-defining AI workbench to accelerate enterprise AI adoption.

The platform ingests messy, real workflows, automates them end-to-end, and continuously learns from human decision-making. This is a customer-focused, hands-on engineering role centred on shipping reliable, production-ready AI systems.

As a Forward Deployed AI Full Stack Engineer, you’ll partner with customers, product, and engineering to build and scale AI directly within enterprise workflows.

What You’ll Do

• Build and deploy AI-powered features across frontend, backend, and platform

• Implement LLM systems, including RAG, embeddings, agents, and document processing

• Rapidly prototype using real customer data and iterate quickly

• Ship user-facing AI with strong guardrails, reliability, and UX

• Optimise for performance, latency, safety, and scale

• Contribute to architecture, testing, and production readiness

• Develop reusable platform components and prompt frameworks

What You Bring

•Proven track record deploying Full-stack AI systems into production

• Experience in a Forward Deployed / Customer-facing Engineering role

• Proven track record deploying Full-stack AI systems into production

• Strong hands-on experience with LLMs and RAG

• Solid software engineering fundamentals

• Comfort in 0 to 1, early-stage environments

• Familiarity with enterprise workflows and unstructured data

Compensation

• Up to $350,000 total comp.

• Strong bonus

• Competitive equity

• Hybrid, 3 days onsite in Palo Alto

You’ll help transform fragmented enterprise workflows into a continuously improving AI platform, shaping a product already seeing strong demand.

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