LMI is seeking an AI Engineer with a strong data and integration background to support the design and development of an AI/ML-enabled personnel management products for a high-visibility Department of War Program. This role sits at the intersection of data science, backend engineering, and systems integration — building the algorithmic core, data pipelines, and API infrastructure that will power intelligent matching recommendations embedded within an existing application.

This position requires the ability to obtain a Secret clearance. Applicants must be a U.S. citizens.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities:

This developer will support an effort to design, prototype, and ultimately integrate an intelligent matching capability into a DoW program management platform. Specific responsibilities include:

1. 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
2. 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
3. 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 ouputs transparent and actionable
4. Work with product managers and designers, supporting prototype development and high-fidelity UX development, vetting, and refinement
5. Conduct rigorous testing of algorithm performance, pipeline reliability, and API behavior to ensure scalability and accuracy ahead of production integration
6. Collaborate with development teams and stakeholders to identify technical challenges, implement solutions, and deliver high-impact contributions in an agile environment
7. Ensure compliance with security protocols, government standards, and industry best practices across all development work
8. Document technical solutions, data models, and integration architecture to support knowledge transfer and continuity across teams
9. 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

Qualifications:

Minimum Qualifications

1. Eligibility for a Secret clearance required; active Secret clearance preferred
2. Demonstrated experience and proficiency using AI coding tools to enhance existing code stacks at scale.
3. 3–5 years of full-stack engineering experience in on production-grade applications
4. Strong backend development experience in Python, with demonstrated ability to build data-intensive applications
5. Experience designing and consuming RESTful APIs for cross-system integration
6. Solid working knowledge of SQL and relational databases (PostgreSQL preferred); familiarity with data modeling for complex, multi-entity schemas
7. Experience building or working with scoring, ranking, or recommendation systems — even outside a formal ML context
8. Familiarity with data pipeline development, including ingestion, transformation, and structured output generation
9. Experience working in agile environments with multidisciplinary teams
10. Version control proficiency using Git (GitLab preferred)
11. 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
12. Strong communication skills — able to explain data model decisions and algorithm logic to both technical teammates and non-technical stakeholders

Desired Skills

1. Experience with ServiceNow development (Scripted REST APIs, IntegrationHub, Flow Designer, or Service Portal/Next Experience)
2. Familiarity with machine learning or statistical modeling concepts — particularly similarity scoring, clustering, or recommendation algorithms
3. Experience with AI/LLM integration, including prompt engineering and structured output parsing for explainability features
4. Data engineering experience: ETL tools, pipeline orchestration, and structured data export formats
5. Cloud environment familiarity: AWS, Azure, or Google Cloud for deploying containerized services
6. Microservices and containerization experience (Docker, Kubernetes)
7. UI/UX development experience (React or TypeScript) — helpful but not a primary requirement for this role
8. DevSecOps and CI/CD experience, including infrastructure-as-code tooling
9. Security certifications such as Security+ or CISSP

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