Full Stack Engineer

Sapientsearch — United States · Posted ~1 day ago

Lead No Visa

Skills

Full-stack development AI engineering End-to-end software development Product development AI

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Summary ✨ AI‑Generated

A high-ownership full-stack engineering role for someone who thinks AI-first and enjoys turning ambiguous ideas into production software. You will work across the stack, independently define solutions, build end-to-end features, and rapidly deliver capabilities to real users in a lean, high-output environment.

Highlights

High-ownership founding-level engineering role with significant autonomy, rapid product delivery, and the opportunity to shape AI-driven capabilities across a growing technology platform.

Description

Please note: Applicants must be legally authorized to work in the United States. The employer is unable to provide visa sponsorship now or in the future. Candidates who currently require or will later require employer sponsorship for work authorization are not eligible for this position. We are recruiting on behalf of our client, a fast growing technology company in the food and hospitality space. They serve a large and growing market with a lean, high output team. The Opportunity Our client needs an engineer who thinks AI first, ships end to end, and moves fast. You won't get tickets. You'll get loosely defined problems and the freedom to decide what to build, build it, and ship it to real customers quickly. This is a high ownership, founding level role. You'll shape how AI shows up across the platform, from core product features to the tools operators use daily. Key Responsibilities Take ambiguous product ideas from zero to shipped, largely on your ownBuild AI native features (agents, RAG, tool use, structured outputs, evals) as core productOwn the full stack: frontend, backend, data, and model integrationBuild feedback loops (evals, telemetry, fast iteration) for reliable AI in productionMake pragmatic build vs buy callsPartner with product and operations to turn business problems into shipped solutions Requirements Hands on experience building with LLM APIs and SDKs (OpenAI, Anthropic, or open models)Strong full stack ability in TypeScript / Python and a modern web stack8+ years of software engineering experience, including 3+ years shipping production full stack appsA public track record: open source repos, side projects, or products with real usersProduct minded, comfortable with ambiguity, and fast at shipping This is a hybrid role requiring three days per week in the office.