Production AI Engineer - Ship LLM Features & Agents

Digital Waffle; San Francisco (CA); Presencial; USD 180 000 - 260 000; Tempo integral

Resumo da oferta

Digital Waffle in San Francisco is hiring an AI Engineer to design, build, and ship LLM-powered features and agentic workflows into production. This is a build role focused on the applied AI stack, working closely with product and real users, not a research lab.

The role requires strong Python and TypeScript experience, hands-on tooling for prompts, retrieval, tools, and evaluation pipelines, and in-person collaboration five days a week with a high-intensity team.

Qualificações

• Production experience shipping LLM-powered features.
• Strong Python and TypeScript skills.
• Experience with function calling, RAG, vector databases, structured output.
• Experience with agent frameworks or SDKs.
• Experience building evals and guardrails for LLM outputs.
• Solid API and backend engineering fundamentals.
• Willingness to work in-person 5 days a week in San Francisco.

Responsabilidades

• Design and ship production LLM features and agents using Python and TypeScript.
• Build the applied AI toolkit end to end: tool and function calling, RAG, vector search, structured output, prompt management, context handling.
• Work directly with foundation model APIs (Anthropic, OpenAI, Google) and open-source models where it makes sense.
• Build evaluation pipelines so quality is measurable rather than anecdotal.
• Integrate agents into existing product surfaces built in React and Next.js.
• Own cost, latency and reliability of the AI layer as first-class concerns.
• Use AI tooling across your workflow to compress the build cycle.

Conhecimentos

Python

TypeScript

LLM features

APIs

Agent frameworks

Evaluation pipelines

Production engineering

Ferramentas

OpenAI APIs

Anthropic APIs

Vector databases

Descrição da oferta de emprego

Digital Waffle in San Francisco is hiring an AI Engineer to design, build, and ship LLM-powered features and agentic workflows into production. This is a build role focused on the applied AI stack, working closely with product and real users, not a research lab.

The role requires strong Python and TypeScript experience, hands-on tooling for prompts, retrieval, tools, and evaluation pipelines, and in-person collaboration five days a week with a high-intensity team.