Founding AI Engineer

3 months ago

Base Salary

$225k - $255k/yr

Responsibilities

Build evaluation harnesses and benchmarks using tracked pricing outcomes as ground truth.
Automate expert-review workflows and persona-training pipelines that are currently manual.
Develop AI personas simulating B2B buying committees and behavioral effects using usage data and call transcripts.
Own LLM routing across providers with explicit cost, latency, and quality tradeoffs.
Maintain infrastructure and data-residency boundaries, including keeping EU model calls in the EU.
Extend the MCP server used by LLM agents, including customer-facing agents, so features are agent-driven.
Use a typed ontology of pricing entities to keep model outputs structured and auditable.
Identify and remediate systemic latency, data-drift, and cold-start issues in the pricing loop.
Ship and own production LLM-powered product features and end-to-end outcomes.

8+ years of engineering experience with strong, recent production LLM depth.
Proven experience shipping and owning LLM-powered product features in production, beyond dashboards or research prototypes.
Hands-on experience building evaluations and observability for LLM systems.
Experience with MCP or with building tools and integrations for LLM agents.
Familiarity with LangChain, LlamaIndex, Braintrust, or OpenRouter.
Experience operating under data-residency, SOC 2, and GDPR constraints in audited domains such as pricing, billing, or payments.
Strong communication skills for explaining non-deterministic systems to clients, partners, and pricing experts.
Product-engineering judgment and the ability to scope pragmatic solutions in a lean startup environment.
Experience building AI-pricing evaluation harnesses using historical pricing outcomes as ground truth is preferred.
Background in SaaS pricing, revenue operations, or another high-stakes revenue-impact domain is preferred.
Authorized to work in the US; visa sponsorship is not available for this role.

Base salary of $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.
On-site role in San Francisco, California; candidates should be based in or willing to relocate to the San Francisco Bay Area.