Forward Deployed Engineer

I’m working with a YC startup building AI systems that are being deployed directly into real-world enterprise workflows. They’ve recently raised their Seed round, signed initial customers, and are now looking for a highly technical engineer who wants to operate closer to the business, product, and customer problems rather than sitting in a siloed engineering function. This is not a traditional solutions engineer role. You’ll be: building AI agentswriting production codedesigning infrastructuredeploying systems into customer environmentsworking directly with enterprise stakeholders to solve operational problems The founders are specifically looking for engineers who can both: build at a high technical levelcommunicate clearly with customers The backgrounds they tend to like: early engineers at AI startupsPalantir / FDSE-style profilesstrong backend or product engineers from high-calibre engineering companiesengineers already building with LLMs, agents, or AI-native tooling What makes the role interesting: Very early-stage with real traction alreadySmall, high-agency teamDirect founder exposureReal ownership from day oneAI-native engineering cultureFast-moving environment with very little bureaucracyOpportunity to shape both product and technical direction early Tech stack: PythonNode.js / TypeScriptAPIs + integrationsAI agents / LLM systemscloud infrastructureproduction deployments You’ll likely enjoy this if: you like building quicklyyou enjoy ambiguityyou want your work close to customers/usersyou prefer ownership over processyou’re excited by agentic AI systems rather than traditional SaaS Bay Area onsite preferred.