Senior Software Engineer; Hybrid

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

We are a cutting‑edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks.

As a Software Engineer focused on AI Integration, you 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 Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet the complex needs of our clients.

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.

#LI-DS1 #Mid‑Senior Level

Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

• 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).
• 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.

• 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.
• 9 years experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) Bachelors in related field; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience.
• Must be able to work in a hybrid environment, spending an average of 1‑2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.

• 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…