Staff AI Engineer: Multi-Agent Compliance Systems

Blee; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary and equity

Bi-annual get-togethers

Medical, dental, and vision insurance

OneMedical access (US only)

Company-paid life insurance

401k + matching

Flexible time off (15 days)

Learning opportunities

Job summary

Blee, an AI-first marketing content compliance platform, is seeking a Staff AI Engineer to architect and implement the next generation of intelligent compliance systems. You will design frameworks where multiple agents—powered by custom and foundational models—work together to surface, track, and explain compliance flags.

You will also build and optimize applied AI/ML pipelines, work across model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and

Qualifications

• 5+ years of applied ML/AI engineering experience.
• Experience with agent-based architectures and orchestration frameworks.
• Proficient in Python and modern software engineering practices (APIs, microservices).
• Experience with ML frameworks and LLM fine-tuning, prompting, and evaluation.

Responsibilities

• Architect multi-agent systems – Design and implement frameworks that integrate foundational LLMs and custom-trained models to power intelligent compliance workflows
• Build and optimize AI/ML pipelines – Model fine-tuning, prompt engineering, and evaluation frameworks
• Ensure explainability and traceability – Build mechanisms for transparent flagging, ensuring every compliance flag is traceable to prior rules, examples, or data assets
• Automate compliance rule translation – Build systems that transform compliance rules into agent-ready logic paths
• Design, train, and fine-tune models – Improve compliance accuracy and adaptability using user feedback and outcomes data to drive iterative training and personalization
• Design model evaluation and monitoring infrastructure – Ensure reliability and auditability across customer deployments
• Collaborate cross-functionally – Work with Product Engineers to integrate AI features via APIs, data pipelines, and frontend; partner with model training engineers to incorporate feedback loops into system design; collaborate with compliance users to translate complex rules into agent workflows
• Stay current on AI/ML advances – Prototype and apply new techniques to our platform

Skills

Python

APIs

Microservices

Distributed systems

Communication

Tools

PyTorch

TensorFlow

Hugging Face

Job description

Blee, an AI-first marketing content compliance platform, is seeking a Staff AI Engineer to architect and implement the next generation of intelligent compliance systems. You will design frameworks where multiple agents—powered by custom and foundational models—work together to surface, track, and explain compliance flags.

You will also build and optimize applied AI/ML pipelines, work across model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and