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Open nowPosted 54 days ago

Forward Deployment Engineer- San Diego Hybrid

medina-talent-group11 open roles

Pay
$155,000 – $200,000 a yearly
Where
San Diego, CA
Work mode
Hybrid
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Your applicationOpen nowForward Deployment Engineer- San Diego Hybridmedina-talent-group · San Diego, CA

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 54 days ago

The posting

  • 8+ years of software engineering experience, including 2+ years building LLM-powered systems (RAG, agents, structured extraction) that run in production, not just prototypes or internal experiments.
  • Demonstrated technical leadership: engineers you have mentored or managed got measurably better because of your code review, pairing, and guidance, and you want direct reports as part of your role.
  • Expert-level Python and strong full-stack fundamentals, with the judgment to choose boring, reliable technology when the problem calls for it.
  • Production cloud experience (AWS, GCP, or Azure), including deploying, monitoring, and maintaining systems that clients depend on daily.
  • Deep working knowledge of the modern AI stack: prompt and context engineering, evaluation, embeddings, vector search, and agent orchestration frameworks.
  • A track record of owning ambiguous, high-stakes projects end to end, from problem framing through architecture, build, and post-launch iteration.
  • Fluent English and clear communication on client calls; you can explain an architecture decision to a non-technical executive without losing them.
  • Consulting-environment adaptability: comfort switching between client contexts, industries, and codebases without losing momentum.
  • Based in San Diego, CA with reliable overlap with Colombia business hours for client and team collaboration.
  • An AI-first working style: you use these tools daily to multiply your own output and teach the team to do the same.
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