Note: The job is a remote job and is open to candidates in USA. LMI is a digital solutions provider focused on enhancing government impact with innovative technology. They are seeking an AI Engineer to design and develop AI/ML-enabled personnel management products, focusing on building data pipelines and integrating systems for intelligent recommendations.
Responsibilities
- 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 ouputs 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
Skills
- 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 on 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
- Experience with ServiceNow development (Scripted REST APIs, IntegrationHub, Flow Designer, or Service Portal/Next Experience)
- Familiarity with machine learning or statistical modeling concepts — particularly similarity scoring, clustering, or recommendation algorithms
- Experience with AI/LLM integration, including prompt engineering and structured output parsing for explainability features
- Data engineering experience: ETL tools, pipeline orchestration, and structured data export formats
- Cloud environment familiarity: AWS, Azure, or Google Cloud for deploying containerized services
- Microservices and containerization experience (Docker, Kubernetes)
- UI/UX development experience (React or TypeScript) — helpful but not a primary requirement for this role
- DevSecOps and CI/CD experience, including infrastructure-as-code tooling
- Security certifications such as Security+ or CISSP
Company Overview
LMI is a consulting firm dedicated to improving the management of government. It was founded in 1961, and is headquartered in Virginia, Nebraska, USA, with a workforce of 1001-5000 employees. Its website is http://www.lmi.org.