AI Software Engineer

🕒 Agosto 17

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $170.000 - $200.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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InductiveHealth Informatics

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A InductiveHealth Informatics é um provedor líder de soluções integradas para vigilância de doenças e gestão de dados de saúde pública. Eles operam plataformas como EpiTrax, ESSENCE e NBS para oferecer soluções configuráveis de vigilância eletrônica de doenças, incluindo migração de dados aprimorada por IA e tecnologia de código aberto para relatórios eletrônicos de laboratório e de casos. Com mais de uma década de experiência em tecnologia de saúde pública, a InductiveHealth apoia agências de saúde pública em todo o mundo, gerenciando sistemas de vigilância jurisdicionais e fornecendo infraestrutura de dados, garantindo conformidade com os padrões de segurança da informação. A empresa desempenha um papel fundamental na intervenção em saúde pública, detectando rapidamente surtos e mantendo ambientes de dados seguros e escaláveis. Histórias de sucesso da InductiveHealth incluem o desenvolvimento do Rastreador de Dados COVID-19, destacando sua capacidade em fornecer dados epidemiológicos críticos durante crises de saúde globais.

Descrição

• Establish, scale, and operationalize AI-assisted software development practices within the Engineering organization • Lead implementation of AI-assisted software development practices across engineering teams • Deliver revenue-impacting software enhancements using autonomous development and human review workflows • Establish and improve standards, governance processes, and quality controls for AI-generated code • Create and maintain engineering playbooks, best practices, and operating procedures • Partner with Engineering, Product, Architecture, and Applied AI teams • Develop automated build, testing, and validation frameworks • Ensure solutions meet quality, security, compliance, and testing requirements • Coach and mentor engineers on leveraging AI tools throughout the software development lifecycle • Develop and deliver training, workshops, and enablement resources • Monitor adoption, measure effectiveness, and improve AI-enabled engineering practices • Contribute to communities of practice and champion modern software engineering, automation, and AI-enabled productivity • Assume increasing technical leadership responsibilities as practices scale

🎯 Requisitos

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience • 5+ years leading software development initiatives in complex enterprise environments • Strong background in software engineering, application architecture, and modern development practices • Experience with AI-assisted coding tools, developer productivity platforms, or software automation technologies • Demonstrated success delivering software products through Agile methodologies • Deep understanding of software testing, quality assurance, CI/CD pipelines, and release management • Experience mentoring engineers and driving organizational adoption of new technologies and workflows • Ability to balance innovation, speed, quality, and risk management • Strong collaboration and communication skills with technical and non-technical stakeholders • Experience creating technical standards, governance models, playbooks, or enablement programs • Proven ability to manage multiple priorities and drive measurable business outcomes • Familiarity with compliance, security, and regulated software development environments • Experience implementing AI-first or autonomous software development practices at scale • Proven track record improving engineering productivity through automation and intelligent tooling • Experience leading organizational change and technology transformation initiatives • Strong understanding of human-in-the-loop development models and AI governance frameworks • Ability to create repeatable engineering processes adopted across multiple teams • Experience coaching engineers to partner effectively with AI tools while maintaining engineering excellence • Success building communities of practice, training programs, or capability-building initiatives • Background in regulated industries such as healthcare, financial services, or government • Experience measuring and communicating business impact of engineering transformation programs • Passion for exploring emerging AI technologies and translating them into practical engineering outcomes

🏖️ Benefícios

• Virtual first, remote organization and culture • Flexible Paid Time Off (PTO) • 401(k) retirement plan with corporate matching • Medical, prescription, vision, and dental coverage (multiple plans based on your needs) • Short Term and Long Term Disability (for employee) • Life Insurance (for employee) • New Team Member support for home office setup