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Senior Full-Stack Engineer (AI Systems)

Agile Fuel | World-class Dedicated Engineering Teams
Mountain View, CA Full Time
POSTED ON 11/28/2025 CLOSED ON 12/27/2025

What are the responsibilities and job description for the Senior Full-Stack Engineer (AI Systems) position at Agile Fuel | World-class Dedicated Engineering Teams?

Our client is redefining how healthcare organizations operate through advanced AI workforce automation. Their platform brings to life a suite of intelligent virtual agents — from AI Receptionist to AI Scribe and AI Nurse — designed to handle administrative and clinical tasks so that real clinicians can focus on what truly matters: patient care.Founded by a world-class team with backgrounds at OpenAI, Google, and NASA, they’ve already partnered with hundreds of healthcare organizations and are scaling rapidly to transform an industry worth over $1T. Backed by top-tier investors including Y Combinator, Amity Ventures, and Sequoia scouts, they’re building the next category-defining AI infrastructure for healthcare.

We’re looking for a Senior Full-Stack Engineer to architect and scale next-generation agentic AI systems. This is a high-impact, full-stack role that blends engineering excellence with deep understanding of LLM-powered experiences.You’ll design, build, and optimize key components across frontend, backend, and model integrations — directly shaping the reliability, speed, and cohesion of a multi-agent ecosystem. You’ll collaborate closely with the co-founders to define and execute the company’s technical direction.

Responsibilities

  • Architect and implement cross-agent systems powering core platform experiences;
  • Build and scale full-stack components using TypeScript/React and Python services;
  • Integrate LLMs into production workflows with strong contracts, observability, and test coverage;
  • Develop shared UI components and typed SDKs to unify cross-agent experiences;
  • Lead engineering direction, collaborating with founders and cross-functional teams.

First-Month Focus

  • Audit current cross-agent flows for UI/UX cohesion;
  • Implement shared components and typed contracts for reliability;
  • Establish instrumentation for frontend performance and model tracing.

Success OKRs (90 Days)

Deliver production-grade agentic workflows with <5% error rates;
  • Launch a cross-agent design system and SDK adopted by 2 internal teams;
  • Establish a weekly “deploy and measure” cadence with performance metrics and error budgets.

  • Requirements

    • 5 years experience with React, TypeScript, and Python in full-stack development;
    • Proven ability to design, ship, and scale LLM-powered applications;
    • Expertise in API design, streaming, and CI/CD pipelines;
    • Strong background in cloud infrastructure (AWS, GCP, or Azure);
    • Track record of building reliable systems with measurable performance and error budgets;
    • Persistent, driven problem solver with strong ownership mindset;
    • Comfortable pushing back on leadership to defend quality and timelines;
    • Thrives in high-ambiguity, fast-paced startup environments.
    • Upper-Intermediate English level.

    Bonus points for

    • Experience with WebRTC or audio-aware UI design.
    • Hands-on work with agentic AI frameworks.
    • History of creating design tokens, SDKs, or cross-agent platforms.

    We offer excellent benefits, including but not limited to

    • Shape the Future of Healthcare — Build category-defining AI systems that empower doctors to focus on saving lives;
    • Early-Stage Impact — Join early and play a critical role in shaping the company’s product and growth;
    • Remote-First Culture — Work from anywhere with a mission-driven, world-class team;
    • Competitive Compensation — Receive a strong salary, meaningful equity, and the opportunity to make real-world impact;
    • Scalability Challenges — Tackle complex, high-performance engineering problems in a rapidly growing company.

    Salary.com Estimation for Senior Full-Stack Engineer (AI Systems) in Mountain View, CA
    $142,052 to $176,728
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