Senior AI Engineer

Blee•San Francisco, CA

34d•$150,000 - $275,000•Hybrid

About The Position

Blee is an AI-first marketing content compliance platform trusted by major companies like PayPal, NerdWallet, and Brex. We are YC-backed and are defining a new category in AI compliance. We value in-person work but offer remote opportunities for the right candidates. You will join a team that values clarity, ownership, and shared responsibility, focused on building tools that genuinely improve how teams work. This role specializes in agent system design for intelligent compliance systems, where you will architect and implement frameworks for multiple AI agents to work together. You will also build and optimize AI/ML pipelines, including model fine-tuning, prompt engineering, evaluation, and customer-specific AI configurations, and train models based on user feedback for personalized compliance recommendations.

Requirements

5+ years of applied ML/AI engineering experience
Strong knowledge of agent-based architectures and orchestration frameworks
Strong Python; proficiency with modern software engineering practices (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 ability to work cross-functionally
Based in the Bay Area or NY & willing to come into the office 3 days a week

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