Senior AI Engineer

This position requires the eligibility to obtain a security clearance. Non-US citizens may not be eligible to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/security-clearances 

Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what’s happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.  

For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.  

We are looking for a Senior AI Engineer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically developing AI-powered DevSecOps processes that accelerate the velocity of development and testing of our mission planning and decision support systems. Hypergiant with its partners is building innovative agentic AI solutions that leverage cloud-based AI platforms and custom model context protocol (MCP) connectors to seamlessly integrate existing capabilities and processes to orchestrate application creation . An ideal candidate is able to design and implement custom agentic workflows, build and deploy MCP connectors for containerized services, and ensure system security and reliability. This position will work alongside our infrastructure and security teams on highly complex DoD projects. 

Role & Responsibilities 

• Build and deploy custom model context protocol (MCP) connectors for new and existing services 
• Design and implement custom agentic workflows using cloud AI platforms 
• Develop server-side application logic and APIs that integrate AI capabilities with existing enterprise systems 
• Contribute to the development and maintenance of reusable AI component libraries and shared code infrastructure 
• Write high-quality code, applying best practices, coding standards, and design patterns for AI systems 
• Participate in the entire AI solution lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process 
• Participate in code reviews and ensure code quality through effective testing strategies and security validation 
• Collaborate with infrastructure teams, security teams, developers, designers, testers, project managers, product managers, and project sponsors 
• Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools 
• Ensure seamless integration with backend systems, cloud services, databases and messaging systems 
• Team with other developers, fostering a culture of continuous learning and professional growth in AI engineering 

Required Experience: 

• At least 5+ years of professional software engineering experience with a focus on Python and TypeScript/JavaScript 
• Proven experience building and deploying production AI systems, custom integrations, and agentic workflows using LLM-based platforms 
• Hands-on experience with Model Context Protocol (MCP) architecture or similar plugin/connector frameworks and workflow orchestration tools (n8n, Airfl