Job Description: Design and build production AI systems — including agents, RAG pipelines, and LLM-powered workflows
Translate product requirements into technical designs
Develop robust evaluation frameworks and benchmarks to measure quality, safety, and regression across LLM-based features
Drive end-to-end delivery of AI features
Build and operate the application layer around foundation models
Fine-tune, distill, and adapt open and closed foundation models when warranted
Optimize inference performance, throughput, and cost across the serving stack
Apply modern AI engineering practices across heterogeneous infrastructure.
Requirements: 7+ years of software engineering experience
A demonstrated track record of shipping complex, production-grade systems
At least 1+ years building applications powered by LLMs or other foundation models
Hands-on experience designing and deploying LLM-based features in production
Strong coding skills in Python and/or TypeScript
Experience using modern AI SDKs and frameworks
Solid working knowledge of how foundation models behave in practice
Familiarity with the architectural patterns of production LLM systems
Experience with embeddings and information retrieval
Strong problem-solving and communication skills
Bachelors/Masters degree in Computer Science, a related technical field, or equivalent practical experience
Advanced degrees and open-source contributions are a plus.
Benefits: Highly competitive compensation
Benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.