Remote AI/ML Engineer Intern — Impactful Defense Tech

Lyntris; Orlando (FL); Remote; USD 34.000 - 39.000; Vollzeit

Benefits dieser Stelle

Paid Time Off

Paid Holidays

Medical, Dental & Vision Insurance

401k Matching

Remote work

Zusammenfassung

Lyntris is seeking an AI/ML Engineer Intern to join a defense-focused team. You will develop AI-enabled software components, work on LLM-powered systems, and contribute to secure, robust applications across domains.

The role emphasizes building scalable code, collaborating with engineers, and supporting test sessions with partners. A bachelor’s or in-progress degree in engineering, CS, math, or physics is required, with DoD clearance eligibility a plus.

Qualifikationen

• Bachelor’s degree or in progress in engineering, computer science, mathematics, physics, or related discipline.
• Basic understanding of LLM-powered application development, including prompt/context engineering, agentic workflows, RAG, and model evaluation.
• Proficiency with TypeScript or JavaScript, Java, Vue.js or React, REST API, and a passion for AI.

Aufgaben

• Design, document, implement, debug, and test AI-enabled software components and integrations.
• Build and maintain efficient, reusable code and software.
• Create plans and estimates for building features; understand system specs and propose improvements.

Kenntnisse

LLM-powered AI

TypeScript/JavaScript

Java

Vue.js/React

REST API

communication

travel willingness

security clearance (DoD)

Ausbildung

Bachelor’s degree or in progress (engineering / CS / math / physics)

Tools

Docker/Kubernetes

LLM frameworks (e.g., HuggingFace)

LLM inference servers (TGI, vLLM)

Jobbeschreibung

Lyntris is seeking an AI/ML Engineer Intern to join a defense-focused team. You will develop AI-enabled software components, work on LLM-powered systems, and contribute to secure, robust applications across domains.

The role emphasizes building scalable code, collaborating with engineers, and supporting test sessions with partners. A bachelor’s or in-progress degree in engineering, CS, math, or physics is required, with DoD clearance eligibility a plus.