Full Stack Engineer, Applied AI
The Full Stack Engineer, Applied AI role involves building and maintaining AI-driven product features that transform customer intent into operational execution. The engineer will develop end-to-end systems including frontend, backend, and AI agent logic to coordinate real-world work, manage operational risks, and improve AI system performance in a hybrid work environment at a fast-growing applied AI startup.
About CareerTakes
CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.
👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, a fast-growing applied AI and operations technology startup helping companies execute physical work across the U.S. without building local teams, leasing warehouses, or managing every on-the-ground detail directly. Its platform coordinates real-world work across 50+ U.S. metros, covering more than 70% of the U.S. population, and grew from zero to multi-millions in gross revenue in 2025.
Applicants for this role may also receive access to additional matched opportunities through the CareerTakes platform.
Role Overview
This confidential client is hiring a Full Stack Engineer, Applied AI to help build the intelligence layer of a platform that turns customer intent into real-world operational execution. This is an engineering-focused role that productizes frontier models into reliable production systems — agent loops, retrieval pipelines, internal tools, evals, observability, and end-to-end product workflows. This is not an ML research or model-training role; you will build AI systems that reason over operational context, dispatch work to human operators, detect and mitigate risk, and take action in the real world.
What You’ll Do
- Build full-stack AI product features end-to-end across React, TypeScript, backend services, database schema, agent logic, and evals.
- Create agents that receive customer requests and dispatch operational work to appropriate human operators.
- Design and implement agent loops that plan multi-step actions, call internal tools, request help when needed, and recover when reality changes.
- Build retrieval and structured-context systems (RAG) that ground agents in operational data.
- Surface operational risks proactively and create automated or assisted remediation before issues impact customers.
- Instrument evals, monitoring, and production observability to measure agent quality and catch regressions.
- Iterate on prompts, tool definitions, model choices, and agent architecture using production telemetry.
- Partner closely with design and operations to decide what to automate, assist, or leave human-in-the-loop.
- Help define shared AI engineering patterns and best practices that future products can leverage.
Who You Are
- 2+ years of full-stack engineering experience with strong product instincts and ownership from UI to backend to schema.
- Strong TypeScript experience across frontend and backend; experience with React and Node is expected.
- Practical experience shipping AI-driven product features in production (LLM APIs, prompting, retrieval, tool use, structured outputs).
- Working knowledge of retrieval-augmented generation (RAG), retrieval pipelines, agent patterns, and evaluation workflows.
- Experience with Postgres and Redis or similar databases/caches; comfortable designing schema and backend services.
- Strong judgment about what should be automated vs. assisted vs. human-in-the-loop.
- Comfortable handling messy, real-world workflows: noisy inputs, incomplete data, and systems coordinating human operators.
- Bias toward shipping, measuring in production, learning fast, and iterating quickly.
- Comfortable in an early-stage environment with ambiguity, autonomy, and limited process.
- Interest or experience with tools and platforms such as OpenAI, Anthropic, Claude, Cursor, Azure, custom agent loops, and AI-assisted development workflows.
- Bachelor’s degree or equivalent practical experience preferred.
Compensation & Logistics
- Salary: $200,000 - $250,000 per year (base range; final offer may vary based on experience, location, and applicable state/local requirements).
- Employment type: Full-time.
- Workplace: Hybrid (San Francisco Bay Area).
- Visa sponsorship: This role offers visa sponsorship.
- This position is posted on behalf of a confidential client (the hiring organization will make final employment decisions).
Relevant Keywords (for search & matching)
- Full Stack Engineer, Applied AI, TypeScript, React, Node.js, Postgres, Redis, LLM APIs, prompting, retrieval, RAG, agent loops, observability, production AI, evals, Azure, OpenAI, Anthropic, Claude, Cursor, AI-assisted development.
Equal Opportunity & Hiring Transparency
CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
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