Work directly with the VP of Autonomy Software to brainstorm, define, and evaluate opportunities where M-LLMs can streamline and supercharge organizational workflows.
Act as the strategic and technical bridge between the core M-LLM Autonomy development team and the broader AI Productivity team, ensuring alignment and sharing best practices.
Build lightweight prototypes, scripts, or internal tools that leverage multi-modal AI to solve real-world engineering, data analysis, or administrative bottlenecks.
Stay up-to-date on the latest advancements in LLMs, M-LLMs, and agentic workflows to propose new use cases for the autonomy software division.

Requirements

Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field.
A strong conceptual and practical understanding of Large Language Models, prompt engineering, and multi-modal AI architectures.
Proficiency in Python, with experience using AI/ML frameworks, APIs, or building lightweight internal applications.
Excellent verbal and written communication skills, with the ability to translate complex technical concepts into actionable workflows for executive leadership and distinct engineering teams.
Highly proactive, scrappy, and entrepreneurial. You enjoy finding inefficiencies and building clever, AI-driven solutions to fix them.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonLarge Language Modelsprompt engineeringmulti-modal AI architecturesAI/ML frameworksAPIsprototypingdata analysisinternal applications

Soft Skills

verbal communicationwritten communicationproactiveentrepreneurialproblem-solving

Certifications

Bachelor’s degreeMaster’s degreePh.D.