Full Stack Engineer
Full-Stack AI Engineer (Founding Team)Early-stage AI startup — Enterprise intelligence for frontline operationsLocation: Onsite in brooklynWhat you’ll doYou’ll be a foundational engineer owning core systems end-to-end.You will:Build full-stack features in Python/FastAPI + TypeScript/React + AWS/GCPShip production LLM systems (prompting, evals, retrieval, structured outputs, tool use)Work on real-time or near-real-time systems involving voice/audio + unstructured data pipelinesIntegrate and stabilize third-party APIs under latency and reliability constraintsOwn features from idea → production → customer impactWork directly with enterprise customers to shape product directionHelp define early architecture and engineering practicesMust-haves5+ years shipping production softwareEarly engineer experience at a Seed/Series A startupFull-stack ownership mindset (frontend → backend → infra)Strong product judgment (what to build, what to cut, when to push back)Production experience in at least one of: voice/audio systems, LLM applications, or data pipelinesStrong LLM fundamentals: prompting, structured output, retrieval, evalsExperience working with unreliable or third-party APIs under performance constraintsCloud experience (AWS or GCP) with multi-tenant SaaS considerations (PII, isolation, security)Strong communication; comfortable working with enterprise stakeholdersNice-to-havesStaff / tech-lead level experience or readiness to grow into leadershipExperience with voice infrastructure (e.g., real-time audio pipelines, speech systems)Agentic LLM workflows (multi-step reasoning, tool use, eval-driven iteration)Data/analytics experience (warehousing, modeling, pipelines, BI systems)On-call or high-ownership production experienceWhy joinLarge, unsolved problem space with massive real-world data streamsEarly enterprise traction with measurable ROIStrong technical founding team with backgrounds in top-tier tech and research orgsWell-funded early-stage company with significant upside remainingHigh ownership environment — you’ll shape core systems, not just featuresValuesOwn the outcomeSolve real problemsIntellectual honesty over certaintyClarity through chaosDeep customer empathyScreening criteriaWe look for strong signals across:Early-stage startup ownership + 5+ years experienceFull-stack execution abilityReal production experience with LLMs, data systems, or voice/audioStrong judgment under ambiguityCustomer-facing communication ability