Senior Applied AI Engineer
Company: getboon.ai
Location: San Francisco
Posted on: April 1, 2025
Job Description:
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 RoleAs 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 operationYou'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
technologiesMinimum 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
scaleCompensationAt 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 EmployerAs 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.
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Keywords: getboon.ai, San Francisco , Senior Applied AI Engineer, Engineering , San Francisco, California
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