AI Engineer

Role Overview

• 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

Requirements

• 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.

Tech Stack

• Postgres
• Python
• ServiceNow
• SQL

Benefits

• High Fringe/Full-Time