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Clera

Founding AI Engineer

San Francisco
Salary
$225,000 - $255,000 annually
Level
Senior
Work type
On-site · San Francisco
Visa
Not offered

Open. First seen 9 September 2026.

Apply on the company's site →

What this role asks for

Particular to this role

LangChain

Rare in Clera's other 299 open postings.

Standard for data science / ML roles

LLM

Common in data science / ML postings at any company.

Read against Clera's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

We're a small, product-focused team building an AI-powered B2B pricing platform that helps companies continuously optimize their pricing strategies — from packaging design and willingness-to-pay analysis to real-time deal guidance and discount governance. As our Founding AI Engineer, you'll own the evaluation systems, feedback loops, and LLM infrastructure that allow our pricing AI to earn trust and drive measurable revenue impact.

This is a high-ownership, founding-team role. Your work directly ties model outputs to revenue and compliance constraints in high-stakes B2B pricing decisions. You'll be shipping to real customers from day one and expected to own outcomes end-to-end.

What You'll Do

  • Build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth.
  • Systematize and automate expert review workflows that are currently done manually.
  • Develop AI personas that simulate B2B buying committees and behavioral effects using usage data and call transcripts.
  • Automate persona training pipelines that are today manual.
  • Own LLM routing across providers (Anthropic, Google, etc.) with explicit cost, latency, and quality tradeoffs.
  • Maintain infrastructure and data residency boundaries (e.g., ensure EU model calls remain in the EU).
  • Extend the MCP server used by LLM agents — including customer-facing agents — so features are agent-driven.
  • Define "done" as when agents can drive features through MCP, not just when a UI renders them.
  • Work within a typed ontology of pricing entities so model outputs are structured and auditable.
  • Identify and remediate systemic latency, data drift, and cold-start issues in the pricing loop.

What We're Looking For

Required

  • 8+ years of engineering experience with strong, recent production LLM depth.
  • Proven track record shipping and owning LLM-powered product features in production — not just dashboards or research prototypes.
  • Direct hands-on experience building evals and observability for LLM systems.
  • Experience with MCP or building tools/integrations for LLM agents.
  • Familiarity with platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter.
  • Experience operating under data residency, SOC 2, and GDPR constraints in domains where correctness is audited (pricing, billing, payments, or similar).
  • Strong communication skills — able to explain non-deterministic systems clearly to clients, partners, and pricing experts.
  • Product-engineer instincts: able to scope pragmatic solutions and deliver under ambiguity in a lean startup environment.
  • Authorized to work in the US. Visa sponsorship is not available for this role.

Nice to Have

  • Experience building evaluation harnesses specifically for AI pricing recommendations using historical pricing outcomes as ground truth.
  • Background in SaaS pricing, revenue operations, or a high-stakes revenue-impact domain.

Compensation & Benefits

  • Base salary: $225,000 – $255,000 USD annually
  • Early-stage equity commensurate with a founding-team role
  • High-impact, high-ownership position with direct influence over product and technical direction

Location

This role is on-site in San Francisco, CA. Candidates should be based in or willing to relocate to the San Francisco Bay Area.

Other openings for this role

3 open postings for this role in San Francisco, first posted 9 September 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Salary context

7 other open postings titled Founding AI Engineer state a salary: median USD 150,000 to USD 200,000 a year.

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