Lead Software Engineer, AI

Vaga não está no LinkedIn

🕒 Outubro 6

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

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

Penn Foster

SiteLinkedInTodas as Vagas

201 - 500 funcionários

📚 Educação

👥 B2C

🤝 B2B

Education • B2C • B2B

Penn Foster é um provedor de educação online credenciado e focado em carreiras, oferecendo programas certificados, diplomas, graduações de associados, bacharelados e ensino médio no formato autodidata. Seu catálogo abrange áreas vocacionais e profissionais, incluindo saúde, tecnologia veterinária, profissões especializadas (HVACR, elétrica, encanamento), reparo automotivo, negócios, TI, justiça criminal, design, hospitalidade, e mais. A Penn Foster atende alunos individuais (mais de 133. 000 estudantes ativos) com cursos online flexíveis, disponíveis 24 horas por dia, 7 dias por semana, e também oferece soluções de treinamento para empresas. A instituição opera diversas escolas/divisões e mantém credenciamentos como DEAC e credenciamentos específicos de programas (por exemplo, um programa de técnico veterinário credenciado pela AVMA-CVTEA).

Descrição

• Define technical strategy and architecture for AI-powered product experiences across the learner and content-authoring ecosystem • Design, build, and ship full-stack systems using TypeScript, Vue.js, Node.js, PostgreSQL, and Azure • Lead complex, cross-functional initiatives from problem definition through delivery, adoption, and ongoing improvement • Establish reusable patterns for retrieval-augmented generation, agentic workflows, model orchestration, prompt management, and human-in-the-loop experiences • Design and maintain evaluation frameworks, quality metrics, observability, and feedback loops for LLM-powered features • Integrate Anthropic, OpenAI, and other model APIs with attention to reliability, latency, token usage, cost, privacy, security, prompt-injection risk, and graceful degradation • Own technical direction for AI-powered content authoring and management capabilities • Partner with product, platform, design, data, and engineering teams to translate ambiguous problems into technical plans and shippable systems • Identify architectural risks, clarify tradeoffs, and balance speed, quality, maintainability, and long-term leverage • Raise engineering standards through design reviews, code reviews, technical documentation, operational standards, and development practices • Mentor and develop engineers in AI-assisted development, context engineering, evaluation design, system reliability, and agentic workflows • Use agentic coding tools such as Claude Code, Cursor, or equivalent for planning, implementation, testing, and review • Ensure systems are scalable, observable, secure, accessible, and economically sustainable in production • Contribute to engineering-wide discussions about responsible AI adoption, technical standards, platform capabilities, and organizational priorities

🎯 Requisitos

• 10+ years of experience building and operating customer-facing software products • Demonstrated impact as a technical leader, staff engineer, principal engineer, tech lead, or equivalent • Strong full-stack engineering fundamentals, including browser technologies, TypeScript, Node.js, PostgreSQL, cloud infrastructure, and distributed systems • Experience designing and delivering AI-powered products using LLMs, retrieval systems, evaluation frameworks, agentic workflows, or related technologies • Track record of leading complex initiatives spanning multiple teams, systems, or organizational boundaries • Ability to set technical direction without formal authority and build alignment among stakeholders • Strong architectural judgment and ability to communicate complex tradeoffs clearly to technical and non-technical audiences • Experience creating durable engineering patterns, platforms, or capabilities • Product sensibility and focus on user experience, quality, speed, and measurable outcomes • Comfort working in ambiguous environments • High ownership mentality across strategy, architecture, implementation, and operational follow-through • Experience mentoring engineers and strengthening engineering practices • Commitment to reliable, secure, observable, and cost-effective AI systems • Ability to thrive in a remote, async-first environment • Experience working at a startup or organization with a high engineering bar • Must reside in and perform work within the United States • Willingness and ability to travel as needed • Employees are expected to be on camera during meetings unless extenuating circumstances apply • Successful completion of applicable pre-employment screening requirements • Completion of employment eligibility verification through Form I-9

🏖️ Benefícios

• Medical insurance • Dental insurance • Vision insurance • Flexible spending accounts • Generous paid time off • Sponsored volunteer opportunities • 401(k) with a company match • Free access to all Penn Foster Group online programs • Remote work arrangement • Occasional travel for team meetings, company events, conferences, and summits