Location: San Francisco, CA — In Person
Employment: Full-time
Experience: 4–8 years
Compensation: $180,000–$325,000 + equity
Visa Sponsorship: H-1B transfer and TN supported
About the Role
We're looking for an exceptional Applied AI Engineer to own and evolve production AI systems used by real customers.
This is a hands-on role for an engineer who knows how to take modern AI models beyond prototypes and turn them into reliable, scalable production products. You'll work across model selection, fine-tuning, evaluations, AI infrastructure, and product development.
The ideal candidate combines strong AI fundamentals with excellent software engineering and product instincts, with the opportunity to grow into a broader AI leadership role.
What You'll Do
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Build, deploy, and continuously improve production LLM-powered applications.
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Evaluate and select models based on performance, cost, latency, and product requirements.
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Fine-tune models using proprietary datasets.
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Build robust evaluation frameworks to measure and improve AI performance.
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Design prompting and orchestration strategies for production AI agents.
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Develop feedback loops that allow AI systems to improve from real-world interactions.
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Build scalable AI workflows, APIs, and data pipelines.
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Monitor model performance and run experiments against defined quality metrics.
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Partner closely with product and engineering teams to translate business problems into AI solutions.
What We're Looking For
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4–8 years of applied AI, ML, or software engineering experience.
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Track record of deploying production AI systems that real users depend on.
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Strong Python and experience with PyTorch or TensorFlow.
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Hands-on experience with LLMs, fine-tuning, evaluations, and model selection.
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Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, DSPy, Instructor, or similar.
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Strong software engineering and systems-design fundamentals.
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Product mindset and ability to turn business requirements into practical AI solutions.
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Strong ownership, communication, and ability to operate in a fast-moving startup.
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Able to work in person in San Francisco.
Strong Plus
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AI agent or conversational AI experience.
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Voice AI, telephony, or real-time AI systems.
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RLHF / RLAIF experience.
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Experience building AI evaluation infrastructure or feedback loops.
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Experience with AI systems in regulated or compliance-heavy industries.
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Founding engineer or early-stage startup experience.
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Open-source AI projects, technical writing, or other independently shipped work.