Staff AI Engineer
$150k - $275k • San Francisco • FullTime
Posted 1mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Blee is an AI-first marketing content compliance platform trusted by major companies like PayPal, NerdWallet, and Brex. We are a YC-backed startup defining a new category in compliance across various industries. We value in-person collaboration but offer remote opportunities for exceptional candidates, with regular off-sites and opportunities to connect across offices. You will join a team focused on clarity, ownership, and building impactful solutions.
Responsibilities
- Architect and implement frameworks for multi-agent systems integrating foundational and custom-trained models for compliance workflows.
- Build and optimize AI/ML pipelines including model fine-tuning, prompt engineering, and evaluation.
- Develop mechanisms for explainability and traceability of compliance flags.
- Create systems to automate the translation of compliance rules into agent-ready logic.
- Design, train, and fine-tune models using user feedback and outcomes data to enhance accuracy and personalization.
- Design infrastructure for model evaluation and monitoring to ensure reliability and auditability.
- Collaborate with Product Engineers to integrate AI features via APIs and data pipelines.
- Partner with model training engineers to incorporate feedback loops into system design.
- Translate complex compliance rules into agent workflows with compliance users.
- Prototype and apply new AI/ML techniques to the platform.
Requirements
- 5+ years of applied ML/AI engineering experience.
- Strong knowledge of agent-based architectures and orchestration frameworks.
- Proficiency in Python and modern software engineering practices (APIs, microservices, distributed systems).
- Experience with ML frameworks like PyTorch, TensorFlow, or Hugging Face.
- Experience with LLMs including fine-tuning, prompt engineering, RAG, and evaluation.
- Background in data preprocessing, feature engineering, and training pipelines.
- Experience with production ML systems (model serving, monitoring, A/B testing, data pipelines).
- Strong communication and cross-functional collaboration skills.
- Based in the Bay Area or NY and willing to commute to the office 2-3 days a week.
Benefits
- Competitive salary and equity package
- Bi-annual get-togethers
- Fully paid medical, dental, and vision insurance
- Free access to OneMedical (US Only)
- Company-paid life insurance (US Only)
- Company-sponsored 401k + matching (US Only)
- Flexible time off (with mandatory 15 days off)
- Financial support for work-adjacent learning opportunities