AI Engineer

🕒 vor 14 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $111.426 - $192.890 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of LMI

LMI

1001 - 5000 Mitarbeiter

Gegründet 1961

🤖 Künstliche Intelligenz

⚕️ Krankenversicherung

🏛️ Regierung

Artificial Intelligence • Healthcare Insurance • Government

LMI ist ein zukunftsorientiertes Unternehmen, das neue Wege von Erkenntnissen zu Ergebnissen durch innovative Lösungen in verschiedenen Sektoren, darunter angewandte KI und digitale Gesundheit, neu gestaltet. Sie bieten fortschrittliche Analysen, Ingenieursunterstützung und Leistungsoptimierung über Verteidigungs-, Gesundheits- und zivile Märkte hinweg an und engagieren sich stark für die Verbesserung der Aufgabeneffektivität für Regierungskunden. Mit einem Fokus auf Zusammenarbeit und Forschung verfolgt LMI das Ziel, durch seine vielfältigen Fähigkeiten und Partnerschaften positiven Wandel zu fördern.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• High Fringe/Full-Time

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