Senior Applied AI Engineer (Agentic Systems)
Clera · San Francisco, CA
$185,000–$210,000from the description
Jul 17, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role at an early-stage AI compliance SaaS company, focused on building and owning the orchestration and safety infrastructure that powers multi-agent LLM systems for enterprise marketing and packaging review workflows. Day-to-day work spans designing agentic reasoning pipelines, stateful asynchronous workflows, retrieval and memory architectures, and evaluation frameworks — all to production-grade, auditable standards in regulated-industry contexts. Best suited to an experienced ML/software engineer with a strong background in multi-agent systems and LLM orchestration.
Senior level · 7+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
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
Roughly 170 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 50–250
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
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 sits at the intersection of software engineering and applied ML/AI; 15-2051 (Data Scientists) is a plausible alternative given the heavy ML/evaluation focus, but the primary deliverable is production-grade agentic software systems, so 15-1252 is the stronger fit.
The JD requires a minimum 2-year average tenure across roles with a clear track record of career progression — an unusual screening criterion not captured in standard fields.
Visa sponsorship is explicitly unavailable; candidates must be authorized to work in the US without sponsorship.
The role is hybrid (3 days/week in-office in San Francisco); remote=false reflects that fully remote work is not permitted.
VLMs, OCR, and document layout analysis appear under the 'Nice to Have' section and are marked as preferred accordingly.
Startup experience or experience in CPG/regulated industries is listed as a required qualifier but names no specific technology, so it is not captured as a skill.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multi-agent AI systems, document layout analysis.
Read the full posting
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