Applied AI Engineer Intern
| Company | Boon Technologies, Inc |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Internship |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Internship |
Requirements
- Pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, or related field with expected graduation date in 2025.
- Demonstrated interest in AI/ML through coursework, projects, or prior internships
- Basic knowledge of AI concepts and technologies
- Strong Python programming skills
- Willingness to learn quickly and adapt to rapidly evolving AI technologies
- Excellent problem-solving abilities and attention to detail
- Strong communication skills and ability to work effectively in a collaborative team
- Curiosity and enthusiasm for working on cutting-edge AI applications in logistics
Responsibilities
- Design and implement comprehensive multi-agent AI systems capable of autonomous operation across dispatch, routing, maintenance, and financial workflows
- Build agents that can reason, plan, and execute complex multi-step tasks with minimal human intervention
- Develop sophisticated orchestration layers that coordinate multiple specialized agents working together to solve logistics challenges
- Create agentic systems that can interface with and extract insights from diverse data sources (TMS systems, load boards, telematics, financial systems)
- Implement advanced reasoning capabilities including planning, tool use, and self-correction mechanisms
- Push the envelope on accuracy while being efficient across inference and fine-tuning
- Deploy LLM and agent evaluation that ensure reliability, safety, and performance at scale
- Develop agent memory and knowledge systems that enable continuous learning and improvement
- Build monitoring systems to track agent performance, detect drift, and ensure reliable operation
Preferred Qualifications
- You’re passionate about AI systems and excited by their potential to transform the logistics industry
- You’re eager to learn about the AI development lifecycle from prototyping to production
- You have a basic understanding of ML fundamentals or are actively learning about concepts like transformer architecture and embeddings
- You’ve completed coursework, personal projects, or hackathons involving AI/ML technologies
- You’re curious about multi-agent systems and how specialized AI components can work together
- You have experience with Python and have used or are interested in learning frameworks like PyTorch or TensorFlow
- You’ve explored or are excited to learn about frameworks for building AI systems (like LlamaIndex, Pydantic, LangChain)
- You’re motivated by practical applications rather than fundamental AI research
- You stay up-to-date with recent developments in AI and are hungry to learn more