Forward Deploy AI Engineer - solutions-oriented role exp. at a B2B tech company
Talent Search PRO · San Francisco, CA
$200,000–$300,000from the description
Jul 1, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A forward-deployed engineering role focused on embedding an AI agent monitoring and evaluation platform directly into customer production systems. Day-to-day work involves hands-on integration of monitoring and agent-facing components into real workflows, guiding customers through technical decisions, and owning engagements end-to-end. Best suited to a product-minded software engineer with some applied AI exposure who is comfortable working inside external codebases and communicating with both technical and non-technical stakeholders.
Mid level · 3+ years · San Francisco-Oakland-Hayward, CA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
What the occupation pays Median $190,744 (middle half $167,095–$224,501). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is titled 'Forward-Deployed Engineer' — a hybrid of software engineering and customer-facing solutions work. SOC 15-1252 (Software Developers) is the best fit given the emphasis on shipping features end-to-end inside customer codebases; 15-1299 (Computer Occupations, All Other) is a plausible runner-up given the forward-deployed/solutions engineering dimension.
The experience range is stated as 3–7 years, with the posting noting that 4–5 years tends to perform best and that 1–2 years out of school may be considered case-by-case. overall years minimum is set to 3 (the stated floor). The seniority band is Mid: the scope is independent delivery within customer systems, not org-wide technical leadership.
The AI experience requirement is explicitly softened in the posting itself: 'A hard agent requirement and preferred evals requirement are no longer mandatory; a strong engineer with AI-adjacent exposure is preferred.' AI agent systems and LLM deployment are retained as required because they appear in the Must-Have section under 'Comfort deploying AI or LLM-based systems into real production environments,' but the bar is lower than a strict agent/evals gate.
Prior evals, observability, or behavior-monitoring experience is listed under Nice-to-Have but flagged as 'heavily preferred' — it remains preferred rather than required because it sits under the Nice-to-Have heading.
The posting explicitly requires candidates to be based in SF or willing to relocate for 5 days/week in-person; remote=false. Visa sponsorship is possible for exceptional candidates but is not the primary scope.
No specific degree is required or mentioned.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): full-stack development.
Read the full posting
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