Overview
Expression is seeking a hands-on AI Engineer to support the continued growth of our Data Science Department. This candidate possesses a blend of deep generative-AI expertise with solid data-science and data-engineering skills. You will design, build, and optimize end-to-end AI/ML solutions—from data pipelines through large-language-model (LLM) prototypes—to deliver measurable impact for U.S. Government customers. The ideal candidate thrives in a highly technical, collaborative environment and excels at turning cutting-edge research into production systems.
Work Location & Travel
- Hybrid (2-3 days/week on-site) at our HQ office or our Client office in downtown DC. Travel Requirement: ~10% for user validation events and training.
- Relocation assistance available for highly qualified candidates.
Security Clearance
- Secret (or higher) clearance and eligibility for NTIA Clearance
Primary Responsibilities
- Design, build, and deploy generative-AI and LLM/RAG systems tailored to customer missions.
- Develop and maintain scalable data pipelines (ETL/ELT, streaming, lakehouse) that feed AI/ML workloads.
- Own the full ML lifecycle—problem definition, data prep, model training, evaluation, MLOps, and secure deployment.
- Conduct rapid prototyping and research to evaluate emerging AI technologies; transition promising prototypes to production.
- Collaborate with Program Managers, SMEs, Architects, Product Designers, Engineers, and fellow Data Scientists to translate mission needs into scalable solutions.
- Mentor junior engineers/data scientists and promote a culture of innovation and continuous improvement.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, AI, Statistics, or a related discipline.
- 3 + years developing and deploying AI/ML models (including at least 1 year with LLMs, RAG, or GenAI frameworks such as GPT, LangChain, or GAN).
- 2 + years building production data pipelines and working with SQL/NoSQL/graph databases.
- Advanced knowledge of machine-learning algorithms, statistics, and prompt-engineering techniques.
- Proficiency in Python (preferred) and one additional language (e.g., Java).
- Excellent written and verbal communication skills, capable of creating technical documentation for varied audiences.
Preferred Qualifications
- MS/PhD in Computer Science, Data Science, AI, or related field.
- Experience with cloud AI/ML stacks (AWS, Azure Databricks & OpenAI Service, or GCP).
- Familiarity with data-engineering tooling (Spark Streaming, Kafka, Lakehouse) and MLOps practices.
- Hands-on experience with NLP, LLM fine-tuning, and GenAI-enabled workflows (coding assistance, testing, analytics).
- Agile/Scrum development experience and comfort with short release cycles.
Benefits
- Competitive salary plus performance-based incentives
- 401(k) with company matching
- PPO and HDHP medical/dental/vision plans
- Education reimbursement
- Complimentary life insurance
- Generous PTO and holiday leave
- On-site office gym access & commuter benefits
- In-office cold-brew coffee (for those visiting HQ)
About Expression
Founded in 1997 and headquartered in Washington, DC, Expression delivers data-fusion, analytics, software-engineering, IT, and electromagnetic-spectrum-management solutions for the U.S. DoD, Department of State, and national-security community. Our “Perpetual Innovation” culture emphasizes rapid, agile delivery and sustainable value. Expression was ranked #1 on Washington Technology’s 2018 Fast 50 and recognized by CIO Review as a Top 20 Big Data Solutions Provider.
Expression is an Equal Opportunity Employer / Veterans / Disabled.
