Enterprise - Software Engineer - APIs, Agile, Linux Columbia, MD Branch MD - LIT

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.

We are currently seeking a talented and experienced Software Engineer who will be responsible for designing, developing, and implementing the "paved road" for AI at our company.

Note:

This role is not focused on training foundational AI models from scratch. Instead, you will take industry best practices, open-source capabilities, and large language models (LLMs), and build a secure framework that allows our other software capabilities to seamlessly leverage AI. You will work closely with other talented engineers to create secure, enterprise-grade AI software solutions, including "MCP" servers, reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external APIs.

In this role, you will have the opportunity to work with modern tools and technologies at the intersection of complex backend engineering and applied AI, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality, secure software solutions. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about treating AI as a complex software integration problem, we would love to hear from you.

• Must have a strong working knowledge and experience developing Java based software capabilities
• Design and develop foundational AI frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities
• Build "MCP" servers and a library of reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external APIs
• Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements
• Should have an inquisitive nature, responsiveness, and excellent testing skills (including an interest in automated testing pipelines for non-deterministic AI outputs)
• Seamlessly transition between hands‑on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact
• Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines
• Will work in a fast-paced, small business environment with our talented team
• Other duties as assigned

This position allows for partial telework.

Security Clearance: A current U.S. Government Security Clearance is desired, but not required; U.S. Citizenship required. Can also consider candidates with a current Secret or TS level clearance.

Nine (9) years experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) Bachelors in related field; seven (7) years relevant experience with Masters in related field; or High School Diploma or equivalent and thirteen (13) years relevant experience.

• Applied AI
  
  Experience:
  
  Hands‑on experience or a strong aptitude for integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open‑source models into backend applications
• Demonstrated understanding of modern applied AI concepts such as prompt engineering, function‑calling/tool‑use, and Retrieval‑Augmented Generation (RAG)
• Experience in designing enterprise APIs
• Experience in RESTful web services
• Experience in Microservices architecture
• Experience in Object Oriented Programming (OOP) paradigms
• Experience with the agile software lifecycle
• Experience with configuration management tools…