AI/ML Engineering Internship

accelintjobboardtest

Orlando (FL)

On-site

USD 25,000 - 41,000

Full time

4 days ago

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Benefits offered by this job

Paid Time Off

Paid Company Holidays

Medical, Dental & Vision Insurance

401k Matching

Employee Assistance Program

HSA and FSA options

Job summary

Lyntris, a defense technology company, seeks AI/ML Engineer Interns to design and implement AI-enabled software with LLM integrations. You will work on diverse systems, create plans, and help secure software against threats, collaborating with engineers and sponsors.

The role involves hands-on development, documentation, and testing in a fast-paced defense-focused environment, with opportunities to travel for presentations and testing.

Qualifications

Bachelor’s Degree or in progress in engineering, computer science, mathematics, physics, or a related discipline.
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.
Proficiency with Java.
Proficiency with Vue.js or React.
Proficiency with REST API.
Ability to travel to support technical presentations, testing, and integration.
Ability to obtain and maintain a Department of Defense (DOD) Security Clearance.

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, including system-level implications and risk mitigation.
Support activities to secure systems against cybersecurity threats.
Collaborate with other engineers, project leads, and program managers to accomplish project goals.

Skills

LLM-powered development

TypeScript/JavaScript

Java

Vue.js/React

REST API

Clearance eligibility

Team collaboration

Education

Bachelor's Degree in progress in engineering/computer science/math/physics

Tools

Docker

Kubernetes

HuggingFace frameworks

Job description

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.

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
Proficiency with Java
Proficiency with Vue.js or React
Proficiency with 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
Knowledge or experience in any of the following technology areas: LLM frameworks such as HuggingFace
Knowledge or experience in any of the following technology areas: LLM inference servers (TGI, vLLM, etc). Solving reasoning problems with LLMs (chain/tree of thought reasoning, integration of external planners, etc.)
Knowledge or experience in any of the following technology areas: Multi-modal LLMs (vision, audio, and other non-textual input.)
Knowledge or experience in any of the following technology areas: 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.

Clearance Requirements

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.

EEOC & Know Your Rights

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

Pay Scales & Benefits

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.