What are the responsibilities and job description for the Applied AI Engineer position at Boon?
About Boon Technologies, Inc.
Boon is an AI agent platform designed specifically for supply chain and logistics providers—the backbone of our economy. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash, Boon is backed by leading Silicon Valley venture capitalists.
At Boon, you'll play a critical role in shaping the future of AI-driven supply chain and logistics operations. Our team is dedicated to constant innovation, empowering customers to streamline crucial operational and revenue-generating workflows. We enable logistics providers to serve their customers better, delivering food, supplies, equipment, and people swiftly and efficiently. Joining us at this early stage means you’ll have significant autonomy and opportunities to make an immediate and lasting impact on a vital industry.
About The Role
As a Applied AI Engineer at Boon, you will be the bridge between research & industry to build an AI agentic platform—an application layer that leverages existing AI technologies to create practical logistics solutions. We're focused on developing autonomous AI systems that can replace or significantly augment human operations in the logistics industry, not conducting fundamental AI research. You will architect and build sophisticated multi-agent systems capable of data-driven decision-making, planning, and multi-step reasoning that integrate deeply with fleet operations. Your work will directly impact how logistics companies operate, transforming manual workflows into intelligent, autonomous processes.
In this role, you will:
At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.
Boon Is An Equal Opportunity Employer
As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Boon is an AI agent platform designed specifically for supply chain and logistics providers—the backbone of our economy. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash, Boon is backed by leading Silicon Valley venture capitalists.
At Boon, you'll play a critical role in shaping the future of AI-driven supply chain and logistics operations. Our team is dedicated to constant innovation, empowering customers to streamline crucial operational and revenue-generating workflows. We enable logistics providers to serve their customers better, delivering food, supplies, equipment, and people swiftly and efficiently. Joining us at this early stage means you’ll have significant autonomy and opportunities to make an immediate and lasting impact on a vital industry.
About The Role
As a Applied AI Engineer at Boon, you will be the bridge between research & industry to build an AI agentic platform—an application layer that leverages existing AI technologies to create practical logistics solutions. We're focused on developing autonomous AI systems that can replace or significantly augment human operations in the logistics industry, not conducting fundamental AI research. You will architect and build sophisticated multi-agent systems capable of data-driven decision-making, planning, and multi-step reasoning that integrate deeply with fleet operations. Your work will directly impact how logistics companies operate, transforming manual workflows into intelligent, autonomous processes.
In this role, you will:
- 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
- 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
- Pursuing or have completed a Bachelor's, Master's, or PhD in Computer Science, Mathematics, or related field
- 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
At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.
Boon Is An Equal Opportunity Employer
As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
