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AI Engineer

Expression Networks, LLC

Posted today
Unspecified
Early Career (2+ yrs experience)
$130,000 - $160,000
Occasional travel
IT - Data Science

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.


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).




Location:


●​ Hybrid in the DMV

●​ Local (DC/VA/MD Metropolitan area)

●​ Relocation assistance available for highly qualified candidates
,Security Clearance:


●​ Top Secret Clearance Required




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 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.
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Job Category
IT - Data Science
Clearance Level
Unspecified