AI/ML Engineering Internship
Accelint Holdings LLC
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Benefits offered by this job
Job summary
Accelint Holdings LLC in Minneapolis, MN seeks an AI/ML Engineering Intern to develop AI-enabled software, design and test algorithms, and collaborate across teams. The intern will explore LLM-powered workflows, security considerations, and integration with industry partners.
Applicants should be pursuing a engineering/CS/math/physics degree with strong problem solving and communication skills, and a willingness to travel for presentations and testing.
Qualifications
- Bachelor’s Degree or in progress degree in engineering, computer science, mathematics, physics, or a related discipline.
- Understanding of LLM-powered app development including prompt engineering, tool calling, RAG and evaluation.
- Proficiency with Java, Vue.js or React, REST API.
- Passion for AI and ability to solve complex technical problems.
- Experience designing and debugging LLM-powered systems.
Responsibilities
- Design, document, implement, debug, and test AI-enabled software components.
- Build and maintain clean, reusable code.
- Create plans and estimates for software features.
- Collaborate with engineers, leads, and managers to achieve goals.
- Produce documentation on software and system design and testing.
Skills
Education
Tools
Job description
Accelint Holdings LLC Minneapolis, Minnesota, United States
This role is contingent upon contract funding.
Lyntrisis a defense technology company that connects sensing to action across the connected battlespace.Lyntrisbrings together the talents ofAccelintand Vitesse teams under one mission, with each contributing deepexpertisewithin their domain.Combining differentiated hardware,softwareand missionexpertise,Lyntrishelps customers sense threats, make sense of complex conditions and act with greater speed,precisionand confidence in contested environments.
Lyntris supports U.S. and allied defense organizations across every branch — including Navy, Army, Air Force, SpaceForceand allied partners — spanning strategic,operationaland tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs,Lyntrisworks 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.Lyntrismoves 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.
- 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.
- 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:
- 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.
- 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:
-
- 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.)
- 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.
- 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.
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.
Lyntris companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include…
- Paid Company Holidays
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
- Paid Time Off
- Paid Company Holidays
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
- 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.
- 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.
- 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.
- 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.
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.
Lyntris companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include…
- Paid Time Off
- Paid Company Holidays
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
25 - 28 USD per hour(Remote (United States))
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