Founding AI Engineer - Pricing AI & Revenue Impact

Worky; San Francisco (CA); On-site; USD 225,000 - 255,000; Full time

Job summary

Worky is seeking an experienced software engineer to advance its AI pricing engine. You will build evaluation systems, automate pricing personas, and own LLM infrastructure across models with attention to cost, latency, and quality.

You will ensure data residency boundaries, extend our MCP-based tooling, and land model outputs into structured, auditable forms within a typed ontology. You’ll mentor engineers and engage closely with customers.

Qualifications

• 8+ years of engineering experience with strong, recent production LLM depth.
• Shipped LLM-powered product features to production and owned them after launch.
• Built evals and observability for LLM systems.
• Strong communication bridging technical and non-technical stakeholders.
• Product engineer instincts: you own scope and prefer pragmatic options.
• Experience with AI coding tools in daily work.

Responsibilities

• Build evaluation for AI pricing recommendations with eval harnesses.
• Automate persona training and simulate B2B buying committees.
• Own LLM infrastructure across models with cost, latency, and quality tradeoffs.
• Maintain data residency boundaries for EU and other regions.
• Extend MCP server used by LLM agents and customer agents.
• Land model outputs into structured, auditable forms within a typed ontology.

Skills

LLM depth

Production features

Observability

Communication

Product instincts

AI coding tools

US work authorization

Tools

LangChain

LlamaIndex

Braintrust

OpenRouter

Job description

Worky is seeking an experienced software engineer to advance its AI pricing engine. You will build evaluation systems, automate pricing personas, and own LLM infrastructure across models with attention to cost, latency, and quality.

You will ensure data residency boundaries, extend our MCP-based tooling, and land model outputs into structured, auditable forms within a typed ontology. You’ll mentor engineers and engage closely with customers.