AI/ML Engineer

Responsibilities

• Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.
• Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.
• Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.
• Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.
• Design AI orchestration workflows supporting distributed inference across multiple edge devices.
• Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.
• Implement model monitoring, observability, testing, and automated evaluation frameworks.
• Collaborate with software engineers to integrate AI models into production software platforms.
• Optimize models using quantization, pruning, distillation deployment technologies.
• Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.
• Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.
• Document model development, evaluation results, and technical recommendations.
• Support customer demonstrations and prototype evaluations.

Requirements

• Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.
• 5-8+ years of professional experience developing production AI or machine learning applications.
• Strong Python programming experience.
• Experience with PyTorch.
• Experience deploying LLMs in production environments.
• Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.
• Experience implementing Retrieval-Augmented Generation (RAG).
• Experience with vector databases and semantic search.
• Experience deploying AI models on edge or resource-constrained devices.
• Experience with model optimization techniques including quantization, model compression, or inference acceleration.
• Experience designing evaluation frameworks for AI systems.
• Experience with Docker and cloud-native AI deployment.
• Excellent communication and collaboration skills.

Qualifications

• Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

Benefits

• 401k matching
• PPO and HDHP medical/dental/vision insurance
• Education reimbursement up to $10,000/yr
• Complimentary life insurance
• Generous rollover PTO and 11 days of holiday leave
• Onsite gym facility and trainer
• Commuter Benefits Plan
• In-office Cold Brew Coffee

About Expression

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.

Equal Opportunity Employer/Veterans/Disabled