[Remote] AI Engineer

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