Enterprise - Software Engineer - Java, APIs, REST 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. 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 Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet complex client needs.

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 Model Context Protocol (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)
• 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.

A current U.S. Government Security clearance is not required on day 1, but will be processed for one; U.S. citizenship required. Candidates with current Secret or TS level clearance will also be considered.

Five plus (5+) years of experience in Software Engineering with modern Java frameworks and libraries (e.g., Spring, Guava);
Bachelor’s degree in a related field; or three (3) years relevant experience with a Master’s in a related field; or high school diploma or equivalent and nine (9) 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 designing enterprise APIs
• Experience in RESTful web services
• Experience in microservices architecture
• Experience with object‑oriented programming (OOP) paradigms
• Experience with the agile software lifecycle
• Experience with configuration management tools (e.g., Git, Nexus, Maven)
• Comfortable working on a Linux command line
• Proven ability to learn quickly and work…