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

AIOS, Remote (US)

What you will do

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:

Nice to have

Agent Platforms: You’ve built runtimes, SDKs, harnesses, tool layers, evaluation platforms, or shared AI infrastructure used by other engineers.
Customer Agents: You’ve built high-volume customer-service, commerce, or transactional agents operating across complex, multi-step customer journeys.
High-Stakes Systems: You’ve worked on healthcare, financial, insurance, or other systems where correctness, traceability, and careful rollout matter.
Model Adaptation: You’ve fine-tuned, distilled, evaluated, or deployed an open-weight model for a specific production workflow.
Long-Term Memory: You’ve built durable memory, context compression, personalization, or agents operating across sessions and extended periods.
Real-Time Systems: You’ve worked on voice agents, streaming systems, or other latency-sensitive AI experiences.
Provider Relationships: You’ve worked directly with frontier model providers on evaluations, technical issues, capacity, pricing, or early access.
Talent: You have a strong nose for exceptional AI engineers and know how to create an environment in which they do their best work.
Research Fluency: You can translate relevant research into reliable production systems without confusing novelty with progress.
Figure It Out: You can move from debugging a production trace, to redesigning an eval, to reviewing an agent abstraction, to handling a provider incident.

Our cultural standards

We aim to make this your life’s work. This should be the most challenging, most rewarding role of your life. Accordingly, these are the core cultural standards to which we hold ourselves & our team-members:

Belief in the mission: We will have served 100 million patients by the end of 2035 and we transform the life of most patients who join. We have a lot of work to do. We are obsessed with our patients and are dedicated to the mission.
Unwavering integrity: We are at the frontier, so we often live in ambiguity with no trodden path. When we can’t look to others for guidance, we must maintain impeccable ethics and unwavering integrity.
Only the paranoid survive: Bad sh*t is coming. By joining us, you’re choosing to sail straight towards the storms with unhesitating conviction. However much we’ve already done, however far we’ve already come — it’s still Day 1 and all our work is ahead of us.
If we’re average we fail: We are only interested in “insanely great”, a focus on the quality of our execution that in everyday life would be considered pathological. We have a dedication to excellence and reject incompetence.
Commitment to candor: That which can be destroyed by the truth should be. You get full transparency from the company and the company expects full transparency from you. We never say anything about someone that we wouldn’t say to them directly. We give feedback with love and do not need to protect people from fleeting physical sensations.
A maniacal sense of urgency: We execute at an intensity that most people think is impossible. Speed is critical and we need things done yesterday. We all work very hard and in such a competitive world there really is no other way to win.
Enduring frugality: We are frugal. We hate being wasteful and we are anti-luxury. A culture of cheapness keeps us young. We spend our cash wisely & carefully — in a way that would make our grandmas proud.
Bulldozing barriers: The world is malleable and we shape it. We truly believe this and act accordingly. We are relentlessly resourceful and are at the mercy of no-one but ourselves. You’ll be shocked how capable you are and how much you can achieve.
Keep your head down: We’re boring people doing exciting work. We don’t chase short-term status — we ignore short-term dopamine hits and focus on what matters. Outsiders will underestimate us and we revel in that.
The power of focus: We live in a world of power laws and we cannot overestimate the unimportance of practically everything. Know your One Thing, and nail it.

🎯 _“You just build a f*_ing amazing experience. Make each step amazing. Make every decision in the long term interest of the customer. Give the customer massively more value than you take.”

Need to have

Experience: You have 8+ years of software engineering experience and remain an active production contributor.
Education: You have at least a bachelor’s degree in Computer Science, Machine Learning, or a closely related technical field.
Production Agents: You have personally built and shipped an exceptional agentic system used by real customers. It did more than answer questions: it reasoned across multiple steps, used tools, changed state, and operated under real production constraints.
Agent Architecture: You can reason deeply about harnesses, orchestration, context construction, retrieval, memory, state, tool design, structured workflows, and error recovery.
Evals: You’ve built or meaningfully owned evaluation systems for probabilistic products. You understand dataset construction, evaluator design, simulations, regression detection, noisy metrics, and the relationship between offline performance and production outcomes.
Software Engineering: You have strong systems-engineering fundamentals. You can reason about APIs, distributed systems, concurrency, queues, databases, observability, failure modes, and production reliability.
Consequential Actions: You know how to let an agent act safely. You have strong judgment around authorization, validation, idempotency, state transitions, auditability, recovery, and escalation.
Model Judgement: You understand the capabilities and limitations of current frontier and open-weight models. You know when the model is the problem and when the real problem is context, tools, data, orchestration, or evaluation.
Open-Weight Models: You have enough technical depth to lead the fine-tuning and AIOS-controlled deployment of open-weight models when the evidence supports doing so. Prior production deployment is not required.
Leadership: You have successfully led and managed a small technical engineering team. You set a clear direction, raise the quality bar, develop strong engineers, and address underperformance.
Technical Authority: Strong engineers trust your judgment. You can make difficult decisions, explain the trade-offs clearly, and push back without hesitation when a proposed approach is unsound.
Communication: You can explain difficult technical ideas to engineers, product leaders, clinicians, and executives without flattening the important details.
Independence: You create clarity in ambiguous environments and make high-quality decisions without hand-holding.
Builder: You still write production code. You lead from inside the work rather than managing it from a distance.
Ownership: When quality drops, costs spike, tools fail, or providers degrade, you take responsibility for reaching the outcome rather than identifying whose component was technically at fault.

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

What you will do

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

What you will do

Nice to have

Our strategy exists at the intersection of two strong theses

Our master plan

Being a AI Engineering Lead at AIOS

You’ll ensure

You’ll also work closely with

Need to have

How to apply

Pay and benefits

Compensation & Benefits

Benefits

About AIOS

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