19 days ago
San Francisco, CA, USASenior / Staff+
Base Salary
$240k - $300k/yr
Responsibilities
- Build frameworks for LLM-powered agents to use tools and knowledge sources effectively.
- Invent new agentic architectures and signals to improve reasoning, planning, and personalization.
- Design and optimize reinforcement learning and fine-tuning approaches for agentic systems.
- Lead development of scalable evaluation, benchmarking, and optimization loops for agents.
- Drive technical strategy and mentor other engineers.
- Write robust, maintainable, and well-tested code for enterprise-grade assistants.
Requirements
- 2+ years as a Staff Engineer, Principal Engineer, or equivalent.
- 5+ years of industry experience in AI or Machine Learning Engineering.
- Experience with agentic frameworks, reinforcement learning, and natural language processing.
- Proven ability to design, build, and ship production-ready systems.
- Proficiency in a machine learning framework of choice.
- Strong coding skills in Python, Go, Java, C++, or similar languages.
- Ability to thrive in a customer-focused, cross-functional environment.
- Proactive attitude to lead, learn, troubleshoot, and take ownership of tasks.
Benefits
- Comprehensive benefits package including medical, vision, and dental coverage.
- Generous time-off policy and 401k plan contributions.
- Home office improvement stipend and annual education and wellness stipends.
- Vibrant company culture with regular events and healthy daily lunches.