AI Engineering Lead at AIOS — Remote, $200-$400k/yr + equity

About the job

This is a fully remote job, open to people in United Kingdom, United States.

About AIOS

AIOS is building the world’s first full-stack AI doctor.

We’re at $450M ARR, growing from $7M/yr in April 2025. We’re faithfully serving >200k/mo patients via Bolt Pharmacy, our main UK brand. We’ve just launched Bolt Med, our international brand. We’re profitable.

Our strategy exists at the intersection of two strong theses:

• The AI doctor that wins will get to escape velocity using GLP-1s, the fastest growing consumer product in history.
• The $2T European healthcare market is overlooked by the most talented builders.

Our master plan:

• Step 0 → $100M/yr by end of 2025: We went from $10M to $100M in 6 months serving the UK GLP-1 market.
• Step 1 → $1B ARR by end of 2026: Since April 2025 we've grown from 3k to 200k UK active GLP-1 patients. We’ll continue this growth curve to hit $1B ARR.
• Step 2 → $10B ARR by end of 2028: Blitzscale Europe. We’ll be Europe’s largest GLP-1 provider.
• Step 3 → $100B/yr by end of 2030: Get regulatory approval across Europe for our Full Autonomous Prescribing (FAP) system. Win contracts at scale with European payers to mass replace human labor. We’ll be the dominant full-stack AI doctor in Europe.
• Step 4 → $1T/yr by end of 2035: With one line of code and zero human time, you can use AIOS to treat any patient globally with any medication.

In so doing, we’ll become the world’s first trillion-dollar healthcare company.

We’re a young, founder-led company. This is still Day 1 and all our work is ahead of us.

You can read more about working with us here: Working at AIOS

Being a AI Engineering Lead at AIOS

We are building a world-leading Applied AI team.

As AI Engineering Lead at AIOS, your fundamental role is to build the AIOS Agent SDK and make it the foundation for world-class agents across the company.

You are not joining to discover our first AI use case or build another chatbot.

Our customer-facing agent gathers context from across our product and customer history, retrieves the right knowledge, reasons through multi-step cases, and decides when to act, respond, escalate, or stand down. Our agentic workflows autonomously generate >$100k of revenue per day.

This existing harness will become the nucleus of the AIOS Agent SDK. You’ll separate its reusable foundations from its customer-support logic and turn them into a strongly opinionated internal platform.

We’re also building an AI clinical decision-support system. This helps clinicians evaluate patient eligibility, contraindications, dosing, and risk. It will be the second major system built on the SDK and, over time, a foundation for increasingly autonomous clinical decisions.

Once the SDK has proven itself through these two tools, it will become the default foundation for new agents across AIOS.

You’ll be the DRI for agent architecture, model strategy, evals, AI reliability, technical safety, provider relationships, and the shared runtime. You’ll make these decisions autonomously. You’ll ensure we use the best model for each job based on measured quality, reliability, speed, and cost.

This is a technical leadership role. You’ll lead by example as you grow the team.

You’ll ensure:

• The AIOS Agent SDK exists and is running the show in production, and it is in exceptionally safe technical hands
• Product engineers can build excellent agents without recreating context, tool, safety, eval, and observability infrastructure.
• Our agents become more capable without becoming less predictable.
• Major changes are supported by trustworthy evidence across quality, reliability, safety, latency, and cost.
• Production failures continuously strengthen our evals, architecture, and models.
• Our engineers actively seek your judgment and trust the direction you set.
• AIOS is clearly an industry leader in applied AI for production healthcare systems.

This is a full-time, fully remote role. You can work async in the timezone of your choice, provided you’re regularly available until midday Pacific Time for collaboration.

This is a senior role. You’ll report directly to Gzim :), (VP of Engineering).

You’ll also work closely with:

• Ben Dowdle (Head of Product)
• Saim Dalvi (UK Clinical Lead)
• Richie Cartwright (CEO)

Key responsibilities

• Agent SDK: You’ll turn Jesse’s (customer support tool) existing harness into the strongly opinionated internal platform powering Jesse, Aegis (clinical support tool), and future AIOS agents. You’ll own its architecture, reusable primitives, supported extension points, developer experience, and integration with our existing infrastructure.
• Jesse & Aegis: You’ll become the senior technical owner of Jesse and work closely with the engineers and Clinical Product team building Aegis. You’ll improve both systems while extracting the shared foundations they need across context, retrieval, memory, orchestration, tools, state, and escalation.
• Evals & Experimentation: You’ll build trustworthy benchmarks using deterministic checks, simulations, model-based graders, human judgment, and production outcomes. You’ll establish the path from offline evaluation to controlled production experiments so major changes ship with evidence.
• Production Learning Loop: You’ll turn traces, poor resolutions, escalations, incidents, tool failures, and successful outcomes into better evals, stronger architecture, improved models, and permanent platform capabilities.
• Safety & Compliance: You’ll make consequential agent actions safe through authorization, validation, idempotency, auditability, recovery, and human handoff. You’ll encode compliance, privacy, security, and regional requirements into the platform wherever possible.
• Models & Economics: You’ll own model selection, routing, fallbacks, caching, and our ~$200k monthly model spend. When the evidence supports it, you’ll lead the data preparation, fine-tuning, evaluation, and AIOS-controlled deployment of specialized open-weight models.
• Reliability: You’ll own the shared runtime in production, including tracing, observability, testing, provider resilience, capacity, and incident response. You’ll be the senior engineering DRI when an AI system behaves unsafely, quality regresses, or the platform fails.
• Technical Leadership: You’ll set AIOS’s AI architecture and strategy in close partnership with the VP of Engineering. You’ll make the final call on major technical decisions, guide engineers across product pods, and remain hands-on by writing production code and personally building the most important foundations.
• Build the Team: You’ll inherit one engineer and build the Applied AI team to approximately five exceptional people during your first year. You’ll own our technical relationships with leading model providers and represent AIOS externally where doing so strengthens our work.

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