AI/ML Engineering Internship

This role is contingent upon contract funding.

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.

Lyntris supports U.S. and allied defense organizations across every branch — including Navy, Army, Air Force, Space Force and allied partners — spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.

Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle — with integrated design, build and test capabilities in-house — and delivers systems that sustain and endure long after initial fielding.

Artificial Intelligence/Machine Learning (AI/ML) Engineer Interns will help develop applications that utilize AI technologies which adapt and scale to solve sophisticated problems across a variety of problem domains.

Duties and Responsibilities:

• Design, document, implement, debug, and test AI-enabled software components, including algorithms, knowledge bases, complex business logic, and LLM/agent integrations, for new and existing systems.

• Build and maintain efficient, reusable, and reliable code.

• Design, document, implement, debug, and test software.

• Create plans and estimates for building software features that satisfy requirements.

• Understand software system specifications and recommend improvements, this includes understanding the implications of system-level decisions and how to mitigate and leverage them.

• Support activities to secure systems against cybersecurity threats.

• Participate in integrated test sessions with industry partners, academia, and customers/sponsors.

• Support project vision and milestone development as well as team initiatives to accomplish them.

• Produces documentation on software design, system design, and testing.

• Collaborate with other engineers, project leads, and program manager to accomplish project goals.

• Perform other duties as assigned.

Required Qualifications:

• Bachelor’s Degree or in progress degree in engineering, computer science, mathematics, physics, or a related discipline.

• A general understanding of LLM-powered application development, including prompt and context engineering, agentic workflows, tool/function calling, retrieval-augmented generation (RAG), structured outputs, and model evaluation.

• Proficiency with:

• - TypeScript or JavaScript
• Java
• Vue.js or React
• REST API

• A passion for working with Artificial Intelligence.

• Ability to analyze and solve challenging technical problems.

• Experience designing, integrating, evaluating, and debugging complex LLM-powered systems.

• Excellent written and verbal communication skills.

• Ability to travel to support technical presentations, testing, and integration.

• Ability to obtain and maintain a Department of Defense (DOD) Security Clearance.

Preferred Skills (Not Required):

• An advanced degree in engineering, computer science, mathematics, physics, or a related discipline.

• Experience with software development in a similar scope, program, and/or environment.

• Knowledge or experience in any of the following technology areas:

• - Docker and/or Kubernetes
• - LLM frameworks such as HuggingFace
• - LLM inference servers (TGI, vLLM, etc). Solving reasoning problems with LLMs (chain/tree of thought reasoning, integration of external planners, etc.)
• - Multi-modal LLMs (vision, audio, and other non-textual input.)
• - Multi-agent, swarming and complex adaptive systems. Experience with additional programming languages, such as C++, C#, SQL, and JavaScript.

• Experience with DevOps and CI/CD processes.

• Experience using task tracking and project management software, such as GitLab or Jira.

• Experience supporting development projects for defense or aerospace technology platforms.

• Active-duty military experience.

• Currently holds an active US national security clearance.

Physical Requirements:

• This position typically requires working in a lab or office setting with some exposure to manufacturing and testing environments. The role may involve handling hardware components and using specialized equipment.

• Prolonged periods sitting at a desk and working on a computer.

• Must be able to lift up to 15 pounds at times.