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LMI · 2 weeks ago

AI Engineer

LMI is a digital solutions provider focused on enhancing government impact through innovation and speed. They are seeking an AI Engineer to design and develop AI/ML-enabled personnel management products, involving data pipelines, scoring algorithms, and API infrastructure for a Department of War Program.
Big DataConsultingInformation TechnologyLogisticsProfessional ServicesAnalyticsManagement Consulting
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Comp. & Benefits
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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 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

Qualification

AI coding toolsFull-stack engineeringPythonRESTful APIsSQLPostgreSQLScoring systemsRanking systemsRecommendation systemsData pipeline developmentAgile environmentGitDevSecOpsCI/CD

Required

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

Preferred

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

LMI is a consulting firm dedicated to improving the management of government.

Funding

Current Stage
Late Stage
Total Funding
$0.25M
Key Investors
Mission Daybreak
2022-09-19Grant· $0.25M
2022-07-12Private Equity

Leadership Team

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Joshua Wilson
Chief Executive Officer
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Zaki Saleh
Senior Vice President Health & Civilian Market
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Company data provided by crunchbase