Senior AI Engineer

Blee, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary with equity

Bi-annual company get-togethers

Fully paid medical, dental, and vision

OneMedical access (US)

Life insurance (US)

401k + matching (US)

Flexible time off (15 days)

Learning opportunities

Job summary

Blee, Inc. is hiring an AI Engineer to architect multi-agent systems that surface, track, and explain compliance flags. You will design and optimize AI/ML pipelines, tune models, and improve explainability across complex workflows.

You’ll work with foundational and custom models, collaborate with product and compliance teams, and help deploy dependable AI features across our platform. This role is based in SF/NY with some remote flexibility.

Qualifications

• 5+ years of applied ML/AI engineering experience.
• Strong knowledge of agent-based architectures and orchestration frameworks.
• Strong Python; APIs, microservices, distributed systems.
• ML frameworks: PyTorch, TensorFlow, Hugging Face.
• LLM experience: fine-tuning, prompt engineering, RAG, evaluation.
• 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-functional.
• 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.

Skills

Python

APIs & microservices

Distributed systems

Communication

Cross-functional collaboration

Tools

PyTorch

TensorFlow

Hugging Face

Job description

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 you model 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