More jobs:
AI Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-17
Listing for:
Digital Waffle
Full Time
position Listed on 2026-10-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer, Full Stack Developer
Job Description & How to Apply Below
A high-growth AI-native startup is hiring an AI Engineer in San Francisco to design, build and ship LLM-powered product features and agentic workflows into production.
This is a build role focused on the applied AI stack: prompts, retrieval, tools, agents, evals and the glue that connects them to a real product. You’ll work close to product and real users, not inside a research lab.
Location:
San Francisco, 5 days per week in office
- Design and ship production LLM features and agents using Python and Type Script
- 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 (Braintrust, Lang Smith or custom) 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 (Claude, Cursor and similar) across your workflow to compress the build cycle
- Strong Python and Type Script, with real production experience shipping LLM-powered features
- Practical grasp of the applied AI stack: function calling, RAG, vector databases, structured output, prompt engineering, context management
- Comfort with at least one agent framework or SDK, with a view on why the abstractions exist
- Experience building evals and guardrails for LLM output
- Solid API, integration and backend engineering fundamentals
- Fluent in modern AI engineering tools and able to use them to raise output
- Happy working 5 days a week in-person with a small, high-intensity team
- Prior work on agentic systems in production (not just prototypes)
- Experience with multimodal models (vision, audio, video)
- Exposure to fine-tuning or post-training of foundation models
This role would suit an AI engineer who wants to ship real LLM product into users’ hands, not write another white paper.
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