Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
P-1 AI

AI Engineer

P-1 AI

AI Engineer developing agentic engineering reasoning systems at P-1 AI. Turning AI ideas into products that are used in engineering teams.

Posted 6/30/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $200,000 - $290,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in transitioning AI research prototypes into delivered products, with a strong foundation in deep learning, machine learning, and agentic frameworks. Proficient in Python and experienced in building physical systems across various domains such as Aerospace, Mechanical, and Robotics.

Highest-signal resume keywords
AI Research Prototype TransitioningDeep LearningPython ProgrammingAgentic FrameworksPhysical Systems Development

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Deep LearningMachine LearningPython ProgrammingAgentic Harness DevelopmentFormal MethodsStructured RepresentationModel EvaluationFailure Mode AnalysisCustom Model DevelopmentTool Integration
Soft Skills
CollaborationProblem Solving
Tools & Technologies
LangChainAgentic Frameworks
Industry Keywords
AerospaceMechanical EngineeringRoboticsEngineering Design ProblemsProduction Traces

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop agentic engineering reasoning through methods ranging from structured representation to formal methods to solve real engineering design problems
  • Build, improve and maintain our agentic harness and its tool integrations
  • Ground the quality of your work by regularly running evaluations and tests
  • Analyze production traces to identify failure modes and investigate customer-reported bugs
  • Collaborate with research scientists to identify gaps in current model capability, help develop custom models and transition them into the core product
  • Stay up-to-date with new agentic frameworks and capabilities, and bring promising ideas into reality

Requirements

What you’ll need
  • Experience transitioning AI research prototypes into delivered products
  • Deep learning experience with strong fundamental understanding about machine learning, large language models, and agentic harnesses
  • Fluent in Python and common agentic frameworks (for example LangChain)
  • Experience building physical systems (Aerospace, Mechanical, Robotics, other)

Benefits

Comp & perks
  • Competitive salary
  • Meaningful equity ownership
  • Healthcare
  • Dental
  • Vision
  • 401(k) match
  • Unlimited PTO