Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI
Core
Design, build, and deploy production-ready AI agents that solve high-impact enterprise problems by combining LLM reasoning, tool use, memory, and control logic.
Role type
Senior/Staff Machine Learning Research Engineer (General Agents)
Builds
Scalable, reliable agent architectures deployed across many customers with varying data, tools, and constraints.
Domain
Enterprise Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
LLM reasoning and agentic system design, Python (production-quality), system integration with external tools/APIs/databases, evaluation framework design, deployment and monitoring, failure analysis, technical direction and architectural decision-making
Preferred skills
Hands-on experience with modern generative AI stacks (OpenAI APIs, open-source LLMs), agent frameworks and orchestration layers, observability for LLM systems, cloud deployment at scale, fine-tuning foundation models (SFT, RLVR, LoRA)
Technologies
Python, OpenAI APIs, LLMs, cloud environments
Responsibilities
Design and implement end-to-end agent systems; Build scalable agent architectures; Develop evaluation frameworks and metrics; Collaborate with product managers and customers to translate requirements; Productionize frontier agent techniques; Own deployment, monitoring, and iteration of agent systems; Contribute to technical direction and architectural decisions
Seniority
Senior/Staff, hands-on IC with increasing scope and leadership
