About this opportunity
Harnham lists this Lead Machine Learning Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We’re partnered with a well-funded early-stage startup rethinking how designers build in the AI era, backed by top-tier investors and operators from leading AI and technology companies. They’re building a next-generation design platform powered by LLMs, focused on helping product teams move from idea to production faster through intelligent, AI-driven workflows.
This is a foundational, high-ownership role where you’ll define and scale AI systems across the product. You’ll operate at the intersection of models, systems, and product, turning cutting-edge AI capabilities into reliable, measurable user-facing features.
What You’ll Do
Own AI architecture and technical direction across the product
Build and ship production-grade LLM features with clear quality and performance metrics
Design and optimize AI pipelines across prompting, retrieval, agents, and evaluation
Lead development of agentic systems and multi-step tool use workflows
Establish standards for model evaluation, benchmarking, and observability
Partner closely with product, design, and engineering to ship high-impact AI features
Requirements
5+ years of software engineering experience
2+ years working with LLM APIs and prompt engineering in production
Strong proficiency in TypeScript or Node.js and Python
Experience with LLM evaluation, benchmarking, and performance measurement
Hands-on experience with fine-tuning (LoRA, full fine-tuning, distillation)
Experience building agent-based AI systems
Ability to own systems end-to-end in a fast-paced environment
What You’ll Build
Custom smaller models tailored to specific design workflows
Multi-step AI agent systems with tool use
Real-time, streaming AI experiences
Context-aware code generation and intelligent suggestions
If you're interested in building AI-native products that directly shape how modern teams design and build software, this is a rare chance to have early, meaningful impact on both the product and technical direction.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.