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AI Engineer

Blee· Engineering
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Hybrid (Bay Area), Hybrid (San Francisco Bay Area)$150k - $210kFull-timePosted 6mo ago

About the role

AI Engineer role focused on architecting and implementing next-generation intelligent compliance systems, including multi-agent frameworks, applied ML pipelines, model fine-tuning, prompt engineering, evaluation, and customer-specific AI configurations.

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

Qualifications

  • - 3 years of applied ML/AI engineering experience
  • - Strong knowledge of agent-based architectures and orchestration frameworks
  • - Strong Python; proficiency with APIs, microservices, distributed systems
  • - ML frameworks (PyTorch, TensorFlow, Hugging Face)
  • - LLM experience: fine-tuning, prompt engineering, RAG, evaluation
  • - Background in data preprocessing, feature engineering, and training pipelines
  • - Production ML: model serving, monitoring, A/B testing, data pipelines
  • - Strong communication skills and cross-functional collaboration
  • - Based in the Bay Area & willing to come into the office 3 days a week
  • - Authorized to work in the U.S. on a permanent basis without sponsorship

Skills

Required:Architect multi-agent systemsPythonML frameworks

Benefits

  • - Competitive salary and equity package
  • - Fully paid medical, dental, and vision insurance
  • - Free access to OneMedical
  • - Short and long-term disability insurance
  • - Company-paid life insurance
  • - Company-sponsored 401k
  • - Unlimited PTO (with mandatory 15 days off)
  • - Financial support for work-adjacent learning opportunities
Last updated Jul 22, 2026. Interested? Apply on the company site.
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About Blee

Smart, fast, and collaborative compliance reviews

Blee easily integrates across the content creation workflow, combining instant feedback and faster approvals with scalable review and recordkeeping. Helping companies maximize revenue by moving faster to market while minimizing risk

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