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 Customer facing 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
• Optimize for performance, latency, safety, and scale
• Contribute to architecture, testing, and production readiness
• Develop reusable platform components and prompt frameworks
What You Bring
• BS required, Master’s preferred
• Experience in a Forward Deployed Engineering role
• Proven track record deploying 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.