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AI Engineer

San Francisco,...
B

Blee

Startup
Category
Technical
Experience
0-3 years
Type
Full-Time
Location
San Francisco, CA, US
Salary
$140,000 - $170,000
Job Description
Benefits & Culture
Competitive salary
Equity package
Full insurance
Unlimited PTO
401k
This goes straight to the founder
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Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$140,000$170,000
Equity % (auto from trade-off model)
1.19%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.19%
$2,082,500
$125,000
1.19%
$2,082,500
$150,000
0.96%
$1,685,833
$175,000
0.51%
$892,500

Advanced Salary & Equity Calculator

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About the Role

We’re looking for an AI Engineer specializing in agent system design to architect and implement the next generation of intelligent compliance systems. You’ll design frameworks where multiple agents powered by custom and foundational models work together to surface, track, and explain compliance flags. You will also train models based on user feedback to better provide more targeted compliance recommendations to users.

Responsibilities

  1. Architect multi-agent systems that integrate with both foundational LLMs and custom-trained models.
  2. Build mechanisms for transparent flagging, ensuring every compliance flag is traceable to prior rules, examples, or data assets.
  3. Collaborate with compliance users to translate complex rules into agent workflows.
  4. Ensure explainability, auditability, and traceability of model outputs.
  5. Partner with model training engineers to incorporate feedback loops into the system design.
  6. Design, train, and fine-tune models that improve compliance accuracy and adaptability.
  7. Build systems that automatically transform compliance rules into agent ready logic paths
  8. Use user feedback and outcomes data to drive iterative training and personalization.

Qualifications

  1. Strong knowledge of agent-based architectures and orchestration frameworks
  2. Proficiency in Python and modern software engineering practices (APIs, microservices, distributed systems).
  3. Hands-on experience with LLM fine-tuning
  4. Background in data preprocessing, feature engineering, and training pipelines.
  5. Proficiency with PyTorch, TensorFlow, or other ML frameworks.
  6. Familiarity with compliance, governance, or rule-based systems a strong plus.
  7. Strong communication skills and ability to work cross-functionally.
  8. Authorized to work in the US on a permanent basis without sponsorship.

Compensation & Benefits

  1. Competitive salary and equity package
  2. Fully paid medical, dental, and vision insurance
  3. Free access to OneMedical
  4. Short and long-term disability insurance
  5. Company-paid life insurance
  6. Company-sponsored 401k
  7. Unlimited PTO (with mandatory 15 days off)
  8. Financial support for work-adjacent learning opportunities