
1001 - 5000 funcionários
Fundada em 1961
🤖 Inteligência Artificial
⚕️ Seguro de Saúde
🏛️ Governo
Artificial Intelligence • Healthcare Insurance • Government
A LMI é uma empresa visionária que se concentra em reinventar o caminho do insight à ação por meio de soluções inovadoras em diversos setores, incluindo IA aplicada e saúde digital. Eles fornecem análises avançadas, suporte de engenharia e otimização de desempenho nos mercados de defesa, saúde e civil, com um forte compromisso em aprimorar a eficácia da missão para clientes governamentais. Com foco na colaboração e pesquisa, a LMI visa promover mudanças positivas por meio de suas diversas capacidades e parcerias.
🕒 Junho 1
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $111.426 - $192.890 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🤖 Engenheiro de IA
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 1961
🤖 Inteligência Artificial
⚕️ Seguro de Saúde
🏛️ Governo
Artificial Intelligence • Healthcare Insurance • Government
A LMI é uma empresa visionária que se concentra em reinventar o caminho do insight à ação por meio de soluções inovadoras em diversos setores, incluindo IA aplicada e saúde digital. Eles fornecem análises avançadas, suporte de engenharia e otimização de desempenho nos mercados de defesa, saúde e civil, com um forte compromisso em aprimorar a eficácia da missão para clientes governamentais. Com foco na colaboração e pesquisa, a LMI visa promover mudanças positivas por meio de suas diversas capacidades e parcerias.
• Design and develop the data pipelines, scoring algorithms, and API infrastructure that power an AI-driven matching and recommendation capability, translating complex multi-entity data into structured, consumable outputs • Build and maintain integrations between the matching engine and an existing, COTS (e.g., ServiceNow) program management platform, including API specs, data handoff mechanisms, and architecture • Collaborate with functional and technical SMEs to build, test, and refine user-configurable matching logic, validate algorithm outputs, and develop generative AI-enabled explainability features that make outputs transparent and actionable • Work with product managers and designers, supporting prototype development and high-fidelity UX development, vetting, and refinement • Conduct rigorous testing of algorithm performance, pipeline reliability, and API behavior to ensure scalability and accuracy ahead of production integration • Collaborate with development teams and stakeholders to identify technical challenges, implement solutions, and deliver high-impact contributions in an agile environment • Ensure compliance with security protocols, government standards, and industry best practices across all development work • Document technical solutions, data models, and integration architecture to support knowledge transfer and continuity across teams • Operate effectively in fast-moving, ambiguous environments, bringing a self-starter mentality, comfort on small and lean teams, and a bias toward rapid iteration and working prototypes over perfect solutions
• Eligibility for a Secret clearance required; active Secret clearance preferred • Demonstrated experience and proficiency using AI coding tools to enhance existing code stacks at scale. • 3–5 years of full-stack engineering experience in production-grade applications • Strong backend development experience in Python, with demonstrated ability to build data-intensive applications • Experience designing and consuming RESTful APIs for cross-system integration • Solid working knowledge of SQL and relational databases (PostgreSQL preferred); familiarity with data modeling for complex, multi-entity schemas • Experience building or working with scoring, ranking, or recommendation systems — even outside a formal ML context • Familiarity with data pipeline development, including ingestion, transformation, and structured output generation • Experience working in agile environments with multidisciplinary teams • Version control proficiency using Git (GitLab preferred) • Experience with testing, security, DevSecOps, and CI/CD processes and proficiency in integrating with automated testing frameworks, following security protocols, and following secure, continuous integration/continuous deployment pipelines • Strong communication skills — able to explain data model decisions and algorithm logic to both technical teammates and non-technical stakeholders.
• High Fringe/Full-Time
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