Artificial Intelligence (AI) Engineer
Belay TechnologiesMaryland, United States
Posted February 12, 2026
150000 - 240000 USD
About the Company
Belay Technologies, Inc., a certified Service Disabled Veteran Owned Small Business (SDVOSB) based in the Baltimore-Washington area, specializes in providing technology and engineering services to the Department of Defense and expanding into the commercial market. The company offers a range of technical IT services including software development, virtualization, systems administration, networking, and testing. Belay is known for its family-like culture, emphasizing work hard, play hard values, and offering opportunities for professional growth within a supportive and innovative team environment.
Job Description
Belay Technologies is seeking an Artificial Intelligence (AI) Engineer to support a critical mission Report Authoring and Dissemination (RAD) system. The AI Engineer will work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture.
Requirements
- Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
- Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts.
- Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
- Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements.
- Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
- Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
Benefits
- 8 weeks paid leave
- 10% matching in 401(k) contributions vested on day one
- $5,000 annual training/tuition
- Student Loan Repayment Program
- 100% company-funded HSA
- Rich medical coverage (100% coinsurance)
- Dental coverage, including orthodontia
- Up to $420,000 in life insurance, premiums 100% company funded
- Amazon Prime, gym reimbursement, monthly lunches, games, and prizes
- Pet adoption program, generous referral bonus program, fun events, and more!
