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Founding Ai Jobs (NOW HIRING)

Clera

Founding AI Engineer

San Francisco, CA · On-site

$225K - $255K/yr

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 ...

Clera

Founding AI Engineer

San Francisco, CA · On-site

$225K - $255K/yr

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 ...

Clera

Founding AI Engineer

San Francisco, CA · On-site

$120K - $180K/yr

About the Role This is a founding engineering role at a seed-stage AI startup building the intelligence layer for the construction industry. The company uses cutting-edge computer vision and ...

Hera (YC S25)

Founding AI Engineer

San Francisco, CA · On-site

The Founding AI Engineer will be responsible for building and optimizing AI systems for generating high-quality animations, collaborating with motion designers to inform AI training data, and ...

RoboForce

Lead AI Native Engineer

Milpitas, CA · On-site

$116K - $153K/yr

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial ...

Nolla Health

Founding AI Engineer

New York, NY · On-site

$160K - $220K/yr

THE MISSION Nolla is building AI doctors so that top-quality healthcare is accessible to everyone ... You'll work directly with the founding team and your work reaches patients immediately. WHAT YOU'LL ...

Hera (YC S25)

Founding AI Engineer

Manhattan, NY · On-site

The Founding AI Engineer will build and optimize AI systems for generating high-quality animations, develop evaluation frameworks, and partner with motion designers to create training data.

Embedding VC

Founding AI Native Lead

Milpitas, CA · On-site

We are hiring a Founding AI Native Lead, reporting directly to the co-founder and working closely with world-class AI and robotics experts across the company. This is a founding builder-operator role ...

Scribe

Founding AI Transformation Strategist

New York, NY · On-site

$200K - $260K/yr

As Scribe's Founding AI Transformation Strategist, you'll help the world's largest companies turn these insights into action. You'll advise executives on AI strategy, guide enterprise transformation ...

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Founding Ai information

See salary details

$33.5K

$139.4K

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How much do founding ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for founding ai in the United States is $139,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $197,500.00 per year, depending on experience, location, and employer.

How do you start a founding AI career with no experience?

Starting a founding AI career with no experience involves gaining foundational knowledge through online courses, tutorials, and self-study in areas like machine learning, programming, and data analysis. Building a portfolio of projects, participating in open-source initiatives, and learning relevant tools such as Python and TensorFlow can help demonstrate skills to employers or investors. Entry often requires persistence, continuous learning, and networking within AI communities or startup environments.
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Founding Ai jobs near you
Infographic showing various Founding Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $139,438 per year, or $67 per hour.

Founding AI Engineer

Clera

San Francisco, CA • On-site

$225K - $255K/yr

Full-time

Re-posted 23 days ago

Job description

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.