Enterprise - Senior Software Engineer - AI/ML, Python, PyTorch Annapolis Junction, MD
Listed on 2026-07-13
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Software Development
Full Stack Developer, Software Engineer
Enterprise - Senior Software Engineer - AI/ML, Python, Py Torch
Annapolis Junction, MD
Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem‑solving
, open communication
, and empowering our employees to make decisions and put forth new ideas.
Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth‑oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.
DescriptionWe are seeking a talented Full‑Stack Software Engineer with experience with Front End technologies, as well as strong UI proficiency to join a small, high‑impact development team. If you enjoy taking ideas from concept to working prototype in short, iterative cycles, and you like solving challenging problems across the stack, this role will give you the opportunity to have an outsized impact on how our organization operates.
You’ll work as a hands‑on engineer on a close‑knit team, helping to design and build modern, scalable applications with polished, intuitive user interfaces.
- Design, develop, maintain, and enhance complex, full‑stack software systems based on documented requirements
- Implement features end‑to‑end, from UI through backend services and data stores
- Apply modern software engineering practices (version control, code reviews, automated testing, CI/CD) to deliver reliable and maintainable solutions
- Build and execute simulations and test harnesses in development and test environments
- Ensure UI designs adhere to established UX/UI principles, style guides, and accessibility standards
- Leverage UI libraries, frameworks, and reusable components to accelerate development and maintain consistency
- Test UI across the organization’s approved browsers and platforms to ensure a seamless user experience
- Debug and troubleshoot UI and full‑stack issues, performing root‑cause analysis and driving fixes
- Continuously improve the user experience by identifying UX/UI enhancements and performance optimizations
- Stay current with industry trends, tools, and best practices in front‑end, full‑stack, and UI development
- Participate in code reviews, providing and receiving constructive feedback to maintain code quality and shared standards
- Collaborate closely with product owners, designers, and other engineers to refine requirements and deliver incremental value
A current Top‑Secret/SCI with FS polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
ExperienceTwenty (20) years’ of relevant experience in software engineering, modernization, or solution architecture. Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience is required.
Required skills- Deep understanding of AI/ML capabilities within client environment.
- Strong software development skills with Java, Python, Object‑Oriented Programming concepts and patterns.
- Experience with machine learning libraries and frameworks such as Tensor Flow, PyTorch, scikit‑learn, or similar.
- Solid understanding of data structures, algorithms, and computational complexity.
- Excellent problem‑solving and analytical skills, with keen attention to detail.
- Ability to work independently as well as collaborate effectively within a team environment.
- Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding,
- Testing, Implementation, Maintenance with the Agile Methodology
- Good understanding of software project management tools (Git Lab, Jenkins, Maven, Jira, Confluence)
- Previous experience in developing and deploying ML/AI models in real‑world applications.
- Knowledge of distributed computing frameworks such as Apache Spark or Hadoop.
- Knowledge of data science workflows, ETL, and data lakes.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity…
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