• Strong engineering background with deep experience in backend or systems work (Python preferred)
• Hands-on experience building with LLMs, agents, and tooling frameworks (LangChain, semantic caches, vector DBs, etc.)
• Comfort working with agentic pipelines and optimizing information flow into AI systems
• Thoughtful approach to system design, with an eye for safety, scalability, and explainability
• High product empathy - you care about how agents impact real users (analysts) and optimize accordingly
• Bias toward experimentation and iteration - you’re excited to try, learn, and ship fast
• Previous experience with knowledge graphs, task orchestration, or AI safety a plus
• Work Location Requirement: This role is based in our San Francisco office. Employees in this position are expected to work from the office at least three (3) days per week to support in-person collaboration and team engagement.
• Work Location Requirement:
• The AI Engineering team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work. We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset.