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Devops engineer Jobs in El Cajon, CA

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Devops engineer • el cajon ca

Last updated: 8 days ago

Remote Senior Agent Engineer - AI Trainer ($500-$500 per hour)

MercorSantee, California, US
Remote
Full-time

We're hiring an Agent Engineer to design, ship, and harden production AI agents end-to-end.What you'll do - Design and ship production AI agents — orchestration, composition, state management.Build...Show more

Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

MercorLa Mesa, California, US
Remote
Part-time

About Mercor’s talent network** Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contra...Show more

Aerospace Engineer

TradeJobsWorkforce92174 San Diego, CA, US
Full-time

Aerospace Engineer Job Duties: Contributes to the design, manufacturing, and testing of aircraft and aerospace products.Studies proposed projects to assess safety and feasibility.Evaluates designs ...Show more

 • Promoted

Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

MercorEl Cajon, California, US
Remote
Part-time

About Mercor’s talent network** Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contra...Show more

Civil Engineer

GpacLa Mesa, California, United States
Full-time
Quick Apply

Join our dynamic and innovative team as a Civil Engineer specializing in Land Development Design.We are a leading Civil Engineering firm dedicated to creating sustainable and impactful solutions fo...Show more

Remote Ruby Engineer - AI Trainer

SuperAnnotateLa Mesa, California, US
Remote
Full-time

As an hourly paid, fully remote Ruby Engineer for AI Data Training, you will review AI-generated Ruby and Rails code or generate your own solutions, evaluate the reasoning quality and step-by-step ...Show more

Sr. CyberArk Engineer - Work from home

TEKsystemsLa Mesa, California, United States
Remote
Full-time

Description:* Job Description: Senior Security Engineer - CyberArk Our clients IAM Engineering organization is looking for talented professionals to join a high-performing team that is charged with...Show more

Software Engineer

TradeJobsWorkForce92195 San Diego, CA, US
Full-time

Software Engineer Job Duties: Develops information systems by designing, developing, and installing software solutions.Determines operational feasibility by evaluating analysis, problem definition,...Show more

 • Promoted

Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

MercorSantee, California, US
Remote
Part-time

About Mercor’s talent network** Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contra...Show more

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Remote Senior Agent Engineer - AI Trainer ($500-$500 per hour)

Remote Senior Agent Engineer - AI Trainer ($500-$500 per hour)

MercorSantee, California, US
8 days ago
Job type
  • Full-time
  • Remote
Job description

We're hiring an Agent Engineer to design, ship, and harden production AI agents end-to-end.

What you'll do - Design and ship production AI agents — orchestration, composition, state management. - Build eval and reliability tooling for agents running thousands of times a day. - Contribute to institutional-knowledge capture and retrieval systems (tribal knowledge, RAG, meeting-notes agents). ## What we look for - Hands-on experience shipping agents in production — professional, OSS, or personal all count. - Clear opinions on orchestration frameworks (LangGraph, AutoGen, CrewAI, Temporal, home-grown DAG executors). - Comfort reasoning about multi-agent composition, state shape, and failure modes. - Experience building eval stacks for agents at scale (offline sets, canary, shadow deploys, LLM-as-judge). - Concrete thinking — named tools, real tradeoffs, specific regressions. ## Interview topics (async, ~20 min, AI-led) 1. Agent systems you've built — orchestration approach, build-vs-buy, framework tradeoffs. 2. Composition & state — how agents trigger each other, state shape per hop, failure handling. 3. Evals & reliability — offline + online + canary layers, concrete regression stories. 4. Institutional knowledge — capture systems you've built or admired, retrieval gaps, where knowledge decays. ## After you accept the offer I'd love to schedule a brief live follow-up to dig into your async answers. Strong signals move to a live conversation with the team.