Applied AI Engineer — Build Production AI Agents in SF

raydar

San Francisco (CA)

On-site

USD 200,000 - 275,000

Full time

5 days ago
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Benefits offered by this job

Health, dental and vision coverage
Life and disability insurance
401(k) retirement plan with automatic
Unlimited paid time off
Paid sick leave, company holidays and 
Bereavement leave
Paid parental leave
Mental health support and virtual care

Job summary

Raydar is seeking an Applied AI Engineer in San Francisco to design, run and productionize AI agents that handle live data with strict reliability targets. The role blends hands-on engineering with experimentation and gives you ownership of how results are measured and shipped.

You will prototype and deploy systems using Python, build evaluation frameworks that test an agent’s reasoning and actions end-to-end, and help steer the direction of applied research.

Qualifications

  • Experience designing and running applied research programs for model reliability, inference cost, and output quality.
  • Proficiency in Python programming and building testing tools to measure automated assistants.
  • Background from a top university and demonstrable AI research or open-source impact.

Responsibilities

  • Design and run applied research programs on model reliability and inference costs.
  • Build evaluation frameworks to judge the full sequence of an agent's actions.
  • Contribute to storage, retrieval, and use of prior information by automated assistants.
  • Convert research findings into production infrastructure with measurable impact.

Skills

Python

Education

Top university degree

Job description

Raydar is seeking an Applied AI Engineer in San Francisco to design, run and productionize AI agents that handle live data with strict reliability targets. The role blends hands-on engineering with experimentation and gives you ownership of how results are measured and shipped.

You will prototype and deploy systems using Python, build evaluation frameworks that test an agent’s reasoning and actions end-to-end, and help steer the direction of applied research.

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