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Field AI Engineer

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JFrog

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Location:
United States , Sunnyvale

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate. This role is modeled on the Forward Deployed Engineer archetype pioneered by companies like OpenAI and Anthropic, but with a twist. Where traditional FDEs embed with a single customer, you embed with the entire ecosystem. Your customer is the SF AI community. Your deliverable is intelligence. You'll represent our company as a peer, not a pitch. Everything you learn feeds directly back into our product, strategy, and roadmap.

Job Responsibility:

  • Attend AI meetups, research demos, hackathons, and conferences across the SF Bay Area as a consistent, trusted presence
  • Build a structured view of the AI vendor and startup landscape — what's emerging, what's enterprise-ready, what's overhyped
  • Run a regular intelligence loop: weekly signal briefs, monthly deep-dives for leadership, and ad hoc alerts when something important surfaces
  • Identify and track tools, frameworks, and architectural patterns gaining real adoption before they become mainstream
  • Build authentic relationships with AI researchers, startup founders, enterprise architects, and practitioners — as a peer, not a vendor
  • Become a known and trusted voice in the SF AI scene
  • someone people want to loop in, not avoid
  • Maintain a living network map of who's building what, who's thinking about what problems, and where the interesting work is happening
  • Get hands-on with new tools, APIs, and agentic frameworks — prototype and evaluate them firsthand before forming a view
  • Engage credibly in deep technical conversations about LLMs, RAG architectures, agentic systems, fine-tuning, prompt engineering, and enterprise AI infrastructure
  • Produce concise technical evaluations: what a tool does, how it works, where it breaks, whether it matters for enterprise
  • Act as the connective tissue between the external AI world and our internal teams — product, engineering, and leadership
  • Run regular internal "what's new in AI" sessions to keep the team sharp and ahead of the curve
  • Partner with product to ensure field learnings shape our roadmap
  • partner with GTM to sharpen competitive positioning
  • Occasionally write or speak externally, not on a content treadmill, but when you have something genuinely worth saying

Requirements:

  • 4+ years in a technical hands-on role: engineering, ML, solutions engineering, forward-deployed engineering, or similar
  • Hands-on experience with modern AI/ML tooling: LLMs, RAG pipelines, agentic frameworks (LangChain, LlamaIndex, AutoGen, or equivalent)
  • Strong Python skills
  • comfort with APIs, cloud infrastructure, and developer tooling
  • Demonstrated presence in the AI community — meetups, open-source, writing, speaking, any of it
  • Based in San Francisco or willing to be deeply embedded here
  • Technically deep: you've built real things with AI. You can evaluate a new tool in an afternoon, spot architectural tradeoffs immediately, and hold your own in any technical conversation
  • Genuinely embedded: you're already showing up at SF AI events, or you will be within 30 days of starting. You find energy in these rooms, not obligation
  • A strong synthesizer: you can take a noisy week of conversations and distill it into three things that actually matter
  • Enterprise-aware: you understand what it means to deploy AI inside a large organization: procurement, security, integration complexity, change management, organizational politics
  • Inbound-first: you're more interested in what you can learn from a conversation than what you can say in it
  • Love bringing the signal back: you enjoy translating external learnings into insights the organization can act on

Nice to have:

  • Prior experience in a forward deployed, field engineering, or developer relations role
  • An existing network in the SF AI/ML ecosystem
  • Familiarity with enterprise software procurement and IT buyer personas
  • Public writing, a newsletter, or a following in the AI space
What we offer:
  • equity package of restricted stock units (RSU)
  • eligibility to participate in our Employee Stock Purchase Plan
  • comprehensive benefits including medical, dental, vision, retirement, wellness and much more

Additional Information:

Job Posted:
March 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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