AI Systems Architect – Full-Stack

🕒 Maio 15

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MPF Federal, LLC

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2012

🤝 B2B

⚕️ Seguro de Saúde

🔬 Ciência

B2B • Healthcare Insurance • Science

MPF Federal, LLC é uma equipe de profissionais altamente experientes dedicados a oferecer uma gama completa de serviços para necessidades empresariais, incluindo treinamento, serviços técnicos, pesquisa clínica, suporte em ciências da vida e gestão empresarial. Com sede em Washington, DC, a MPF trabalha tanto com o governo federal quanto com clientes comerciais, oferecendo soluções inovadoras em tecnologia da informação, gestão de programas, gestão de registros e conformidade. Estabelecida em 2012 como uma Pequena Empresa Desfavorecida de Propriedade de Mulheres certificada pela SBA e localizada em Zona HUB, a missão da MPF é atender às necessidades dos clientes com padrões de desempenho mensuráveis e entregas de alta qualidade.

Descrição

• Lead the design and development of AI-driven tools optimized for deployment across AWS, Azure, and Google Cloud. • Design, create and deploy applications for internal and external use. • Build products that ensure operational discipline and robust governance across diverse cloud ecosystems. • Develop end-to-end applications where the frontend serves as a real-time Decision Support Interface and the backend functions as a high-concurrency engine. • Design asynchronous APIs capable of handling live, multi-modal data ingestion from diverse sources. • Architect complex system states where variables are collected, analyzed, and orchestrated in real-time to drive predictive outcomes. • Ensure seamless application performance and portability across a multi-cloud landscape.

🎯 Requisitos

• 10+ years in full-stack development, with at least 4 years specifically focused on AI/ML integration. • Proven success building and deploying applications in secure, multi-tenant cloud environments. • Experience designing unified data stacks that synchronize real-world human interactions with virtual system states in real-time. • A track record of developing autonomous AI agents using frameworks such as LangGraph, AutoGen, or CrewAI to orchestrate complex, multi-step workflows. • Experience building pipelines for diverse data types (text, telemetry, and unstructured audio) to drive real-time system updates. • Proficiency in designing agent-based models and utilizing Reinforcement Learning to simulate complex decision-making cycles. • Deep LLM & Vector expertise, leveraging LLMs for dynamic content generation and utilizing vector databases to manage contextual memory. • Demonstrated ability to operate as a self-starter, managing technical debt and architectural trade-offs independently. • Experience navigating the technical and security constraints of government or heavily regulated industries. • U.S. Citizenship Required.

🏖️ Benefícios

• Build real AI products with real-world federal impact. • High trust, low bureaucracy; engineers are empowered to build. • Opportunity to shape greenfield systems and MVPs, not just maintain legacy tools. Work alongside a team that values execution, curiosity, and ownership. • Competitive compensation package including a competitive salary, medical benefits, PTO, holiday pay and more.