Staff Software Engineer, AI-Native Systems

🕒 Agosto 26

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $185.725 - $264.500 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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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.

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Wheel

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

🏥 Saúde

⚕️ Seguro de Saúde

☁️ SaaS

Healthcare • Healthcare Insurance • SaaS

A Wheel é uma plataforma líder em cuidados virtuais centrados no consumidor, projetada para fornecer assistência médica personalizada, conveniente e abrangente. A Wheel oferece uma solução de cuidados virtuais perfeita para empresas e profissionais de saúde, permitindo que os negócios ampliem facilmente suas ofertas de saúde e entreguem cuidados de alta qualidade em escala. Para os profissionais de saúde, a Wheel oferece uma plataforma flexível e recompensadora que lhes permite trabalhar com várias empresas sob um único cronograma e contrato, tudo isso operando remotamente. A empresa faz parcerias com empresas de saúde digital, planos de saúde, empresas de ciências da vida e varejistas para oferecer serviços que incluem cuidados convenientes, cuidados urgentes e programas de cuidados específicos para condições. Confiada por empresas da Fortune 50 e apoiada por uma robusta rede de profissionais de saúde, a Wheel já facilitou mais de cinco milhões de visitas de pacientes e mantém uma alta taxa de satisfação entre os clínicos.

Descrição

• Own the technical direction for a significant AI-native domain, such as agent architecture, platform abstractions, or evaluation and guardrail infrastructure • Act as tech lead for a squad or cross-team initiative, decomposing ambiguous problems, sequencing delivery, clearing blockers, and focusing the team on outcomes • Write and review design documents and make and document architectural decisions • Establish clear technical ownership and prevent reviews from stalling • Design and build production AI agents using retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability • Set and enforce standards for production-ready agents, including testability, rollback safety, cost ceilings, failure modes, and human-in-the-loop boundaries • Build and extend AI platform abstraction layers, shared libraries, patterns, and guardrails • Translate privacy, security, and compliance constraints for sensitive healthcare data into concrete architecture • Own full-stack delivery in TypeScript/Node.js and Python across service/API layers, data-processing jobs, and internal interfaces • Leverage cloud infrastructure, event-driven patterns, CI/CD, and observability to deliver scalable AI-native systems • Own deployment, monitoring, production troubleshooting, and on-call responsibilities • Partner with product, operations, clinical operations, and business leaders to define valuable use cases • Lead design sessions, proofs of concept, and build-with sessions to drive trust and adoption • Communicate trade-offs, risks, and recommendations to technical and non-technical audiences, including executives • Influence roadmap and prioritization based on technical risk, sequencing, and cost • Own evaluation strategy and metrics for agent accuracy, latency, safety, and cost-effectiveness • Instrument systems for post-deployment visibility and iterate on data, feedback, and changing requirements • Mentor and grow engineers through code review, design review, pairing, and direct feedback • Create reusable patterns, documentation, and best practices • Anchor the internal AI-native and agentic engineering community of practice • Ship a real product within the first 90 days, own a domain within six months, and establish patterns adopted by other teams within the first year

🎯 Requisitos

• 8+ years building and operating production software • Meaningful full-stack depth across a TypeScript/Node.js backend and at least one other language (Python strongly preferred) • Track record of technical leadership as an individual contributor • Experience designing and deploying agentic systems in production, including retrieval, orchestration, tool/function calling, and evaluation • Ability to take a loosely defined problem to a shipped, measured, agent-powered workflow • Experience using AI development tools as a force multiplier, with judgment about when to trust, verify, or override them • Strong cloud-native engineering fundamentals • Comfort with CI/CD, observability, and running what you build • Fluency with relational data and SQL • Clear written and verbal communication, including design documentation • Comfort with ambiguity and a bias toward shipping measurable results • Experience with agent frameworks and multi-agent architectures at production scale (strongly desired) • Experience with model evaluation and guardrail infrastructure (strongly desired) • Experience building platform capabilities consumed by other engineering teams (strongly desired) • Background in workflow automation, forecasting-driven products, or supply-demand matching (strongly desired) • Prior work in a regulated environment such as healthcare/HIPAA or fintech (strongly desired) • Experience mentoring engineers or acting as a formal tech lead (strongly desired) • Legally authorized to work in the United States for any employer

🏖️ Benefícios

• Medical, Dental and Vision • Ancillary: Life, Short and Long Term Disability • 401K match • Flexible PTO • Parental Leave • Stock options • Additional programs and perks • Remote-first work arrangement