Senior Applied AI Engineer

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 Senior 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 a Great Fit If:

• You're passionate about building truly autonomous and maintainable AI systems that can transform industries

• You're comfortable with the full AI development lifecycle from prototyping to production deployment

• You can reason about ML fundamentals like transformer architecture, model embeddings, right choice of metrics and optimizers.

• You have hands-on experience building and deploying agentic AI systems or other AI assistants

• You're skilled at designing multi-agent workflows where specialized agents collaborate to solve complex problems

• You're experienced with deep learning frameworks like PyTorch or TensorFlow.

• You've looked at frameworks for building agentic systems (like LlamaIndex, Pydantic, LangChain or similar)

• You understand the challenges of agent reliability, safety, and evaluation

• You're motivated by practical applications and deploying iteratively than fundamental AI research

• You have experience with Search, Indexing and Ranking technologies

Minimum requirements for the role:

• Bachelor's or Master’s degree in Computer Science, Mathematics, Machine Learning

• 5+ years of hands-on experience building and deploying AI/ML systems in production

• Expertise in multi-agent system design and implementation

• Proficiency with LLM orchestration technologies and agentic frameworks

• Python skills with experience in modern AI/ML frameworks

• Knowledge of distributed systems and data ETL at scale

Compensation 

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 loc