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Senior Applied AI Engineer – Document Intelligence
| Company | Boon Technologies, Inc |
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| Location | San Francisco, CA, USA |
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| Salary | $180000 – $245000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- 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
- Experience with document parsing and extraction
- 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
Responsibilities
- Design and implement comprehensive multi-agent AI systems capable of autonomous document parsing and extraction.
- 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 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 similar to Glean, Harvey, 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
