Blee Logo

Blee

Senior AI Engineer

Posted 8 Days Ago
Hybrid
San Francisco, CA, USA
150K-275K Annually
Senior level
Hybrid
San Francisco, CA, USA
150K-275K Annually
Senior level
Design and implement multi-agent AI systems for marketing compliance workflows. Build production ML pipelines involving model fine-tuning, prompt engineering, retrieval-augmented generation, evaluation, monitoring, explainability, and feedback-driven personalization. Translate compliance rules into agent logic, ensure auditability across customer deployments, and collaborate with engineering, product, implementation, and compliance teams to deliver reliable AI features.
The summary above was generated by AI

Why Blee:

Blee is an AI-first marketing content compliance platform. PayPal, NerdWallet, and Brex already trust us. We're YC-backed, founded by an ex-Adobe marketing ops leader and former lawyer, and we're defining a category that didn't exist two years ago—across Fintech, Financial Services, CPG, Travel, and Life Sciences..

With offices in San Francisco and New York, we value in-person work but offer remote-opportunities for the right people. No matter where you join us, you can expect quarterly off-sites and opportunities to join other offices when you feel it’s important. You’ll be joining a team that values clarity, ownership, and shared responsibility—and is focused on building something that genuinely improves how teams work.

The Role

This is an AI Engineer role specializing in agent system design for someone who wants 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 train models based on user feedback to provide more targeted compliance recommendations.

What You'll Do

  • 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

Who You Are

  • Deeply technical and hands-on – you love building production ML systems, not just prototyping

  • Customer-outcome oriented – you care about how your models perform in the real world, not just on benchmarks

  • A fast learner who thrives at the intersection of AI and domain-specific problems, especially compliance and governance

  • Strong collaborator who can work across engineering, product, compliance, and customer-facing teams

  • Proactive and curious; you stay ahead of the rapidly evolving AI landscape

  • Excited to work in a high-trust, high-autonomy environment where your work directly impacts customers

Who You'll Work With

You will work closely with Blee's AI and engineering leadership, collaborating daily with product engineers and implementation managers.
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

How We Work:

We have offices in New York and San Francisco and value in-person collaboration, but we're open to remote for the right person. Wherever you're based, expect bi-annual off-sites and the chance to spend time in our other offices when it matters.

What You’ll Get:

  • 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

Blee is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

For roles based in the US, applicants must have authorization to work for any employer. We are unable to sponsor or take over sponsorship of an employment Visa at this time

Beware of Imposter Recruiters and Job Scams

  • All official communication from our talent team will come from an @blee.com email address.

  • We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.

  • We will never request payment for equipment, training, or application processing.

  • Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/Blee

If you are contacted by someone claiming to represent Blee but you’re unsure of their legitimacy, please reach out to us directly at [email protected] before sharing any personal information.

Blee San Francisco, California, USA Office

Blee San Francisco Office

535 Mission St, San Francisco, California, United States, 94105 2997

Similar Jobs at Blee

8 Days Ago
Hybrid
San Francisco, CA, USA
160K-210K Annually
Mid level
160K-210K Annually
Mid level
Artificial Intelligence • Marketing Tech • Software
Build end-to-end product features with a backend emphasis: design databases, develop backend services and APIs, own infrastructure (CI/CD, monitoring, deployments), optimize performance, troubleshoot production incidents, and maintain automated tests to ensure reliability and scalability.
Top Skills: Adobe UxpAWSCepChrome ExtensionCi/CdDatadogDockerFigmaGCPLlmsNode.jsOffice.JsPrompt EngineeringPulumiPythonReactSentrySQLTerraformTypescript
20 Days Ago
Hybrid
San Francisco, CA, USA
160K-230K Annually
Senior level
160K-230K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software
Own end-to-end product execution for Blee’s enterprise AI marketing content compliance platform. Responsibilities include customer discovery, requirements writing, backlog and sprint management, bug triage, platform capability development, feature launches, adoption tracking, and roadmap prioritization. The role partners closely with engineering, customers, Sales, Customer Success, Legal Engineering, and enterprise legal, compliance, marketing, and operations stakeholders.
Top Skills: AI

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account