Head of AI Engineering

Vaga não está no LinkedIn

🕒 Agosto 6

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $400.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

👻 Score fantasma 2%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

AIOS

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

🏥 Saúde

💊 Farmacêutico

👥 B2C

💰 Seed Round - Fella Health em 2020-01

Healthcare • Pharmaceuticals • B2C

A AIOS é uma empresa de saúde e bem-estar voltada para o consumidor que oferece programas de perda de peso e saúde masculina baseados em prescrição. O serviço combina clínicos certificados e exames laboratoriais gratuitos (em clínica ou em casa) com tratamentos baseados em medicação — incluindo terapias GLP-1 (como tirzepatida), suporte de testosterona (enclomifeno) e outros medicamentos metabólicos/longevidade (metformina, rapamicina, NAD+) — enviados diretamente aos membros. Os programas enfatizam avaliações metabólicas personalizadas, coaching de saúde e uma garantia de reembolso de seis meses, visando homens com tempo limitado que buscam perda de peso sustentável, energia melhorada e apoio à saúde sexual/fertilidade.

Descrição

• Build the AIOS Agent SDK as the foundation for world-class agents across the company • Separate the reusable foundations of the existing customer-support harness from its customer-support logic and turn them into an opinionated internal platform • Own agent architecture, model strategy, evaluations, AI reliability, technical safety, provider relationships, and the shared runtime • Ensure the Agent SDK runs in production and provides context, tool, safety, evaluation, and observability infrastructure • Turn Jesse’s harness into the platform powering Jesse, Aegis, and future AIOS agents • Own the technical direction of Jesse and collaborate with engineers and the Clinical Product team building Aegis • Build benchmarks using deterministic checks, simulations, model-based graders, human judgment, and production outcomes • Convert production traces, incidents, tool failures, escalations, and outcomes into improved evaluations, architecture, models, and platform capabilities • Implement authorization, validation, idempotency, auditability, recovery, human handoff, compliance, privacy, security, and regional requirements • Own model selection, routing, fallbacks, caching, fine-tuning, deployment, and approximately $200k monthly model spend • Own production runtime reliability, tracing, observability, testing, provider resilience, capacity, and incident response • Set AI architecture and strategy, make major technical decisions, guide engineers, write production code, and build key foundations • Inherit one engineer and grow the Applied AI team to approximately five people during the first year • Own technical relationships with leading model providers and represent AIOS externally

🎯 Requisitos

• 8+ years of software engineering experience and active production contribution • At least a bachelor’s degree in Computer Science, Machine Learning, or a closely related technical field • Personally built and shipped an exceptional agentic system used by real customers • Deep knowledge of harnesses, orchestration, context construction, retrieval, memory, state, tool design, structured workflows, and error recovery • Experience building or meaningfully owning evaluation systems for probabilistic products • Strong systems-engineering fundamentals, including APIs, distributed systems, concurrency, queues, databases, observability, failure modes, and production reliability • Strong judgment around authorization, validation, idempotency, state transitions, auditability, recovery, and escalation for consequential agent actions • Understanding of current frontier and open-weight model capabilities and limitations • Technical depth to lead fine-tuning and AIOS-controlled deployment of open-weight models • Successfully led and managed a small technical engineering team • Ability to make difficult technical decisions, explain trade-offs, and challenge unsound approaches • Ability to explain difficult technical ideas to engineers, product leaders, clinicians, and executives • Independence in ambiguous environments • Ability to write production code and lead from inside the work • Ownership of outcomes when quality drops, costs spike, tools fail, or providers degrade • Nice to have: experience with agent platforms, customer agents, high-stakes systems, model adaptation, long-term memory, real-time systems, provider relationships, talent development, research translation, and production debugging

🏖️ Benefícios

• Early stage equity • Comprehensive medical insurance (if appropriate) • PTO with a yearly minimum (≥2wks/yr + local national holidays) • Fully remote work • Personal development budget for books, courses, coaching ($1200/yr) • Personal wellness budget for gym, health apps ($1200/yr) • Free biweekly health coaching • Macbook & work-from-home equipment provided as needed • Opportunity to shape the culture