What are the responsibilities and job description for the AI Engineer (Generative AI) position at Expression?
Expression is seeking an experienced AI Engineer specializing in Generative AI to support the continued growth of our Data Science Department. In this role, you will design and execute high-impact AI solutions for a wide range of customer applications. The ideal candidate thrives in a highly technical, collaborative environment and is adept at solving complex problems through independent research and innovation.
Location:
- Remote with the ability to travel when needed
- Local (DC/VA/MD Metropolitan area) is preferred but not required
- Relocation assistance available for highly qualified candidates
Security Clearance:
- US Citizenship required
- Ability to obtain Secret Clearance or higher
Primary Responsibilities:
- Design, build, and deploy generative AI systems tailored to meet customer missions.
- Develop end-to-end AI solutions, including problem definition, data preparations, model development, performance evaluation, and deployment.
- Continuously optimize the performance of models and systems through iterative improvements.
- Collaborate with Program Managers, Subject Matter Experts, Architects, Product Designers, and Data Scientists to translate customer needs into scalable, mission-ready AI solutions.
- Conduct research and create prototypes to explore emerging AI technologies and innovative applications.
- Demonstrate excellence in Data Science and AI engineering, mentor juniors, and foster innovation.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, AI, or related discipline.
- 3 years of experience in building and deploying AI/ML models.
- 1 year of experience developing products or functional prototypes using LLMs and RAG technologies.
- Expertise in generative AI frameworks such as GAN, GPT, and LangChain.
- Advanced knowledge of prompt engineering techniques for generative models.
- Proficiency in Python, Java, or equivalent.
- Deep understanding of machine learning algorithms.
- Strong written and verbal communication skills, with the ability to create design documents, technical reports, and presentations for varied audiences.
Preferred Experience:
- MS or Ph.D. degree in Computer Science, Data Science, AI, or related discipline.
- Experience working with cloud platforms (AWS, GCP, Azure) for ML workloads.
- Familiarity with tools and practices for data engineering and data management.
- Experience in short-release cycles and the full software lifecycle.
- Experience with Agile development methodology (Scrum).
Benefits:
Expression Networks offers highly competitive salaries, performance-based incentives, and additional benefits, such as:
- 401k matching
- PPO and HDHP medical/dental/vision insurance
- Education reimbursement
- Complimentary life insurance
- Generous PTO and holiday leave
- Onsite office gym access
- Commuter Benefits Plan
About Expression:
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, 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 “Perpetual Innovation” 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.
Equal Opportunity Employer/Veterans/Disabled
