Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI

What you'll do

• Build end-to-end agent systems and scalable architectures integrating LLM reasoning, tools, memory, and control logic.
• Create evaluation frameworks and measure agent performance, reliability, and business impact; monitor deployments and analyze failures.
• Collaborate with customers and cross-functional teams to translate enterprise needs into robust agent systems and contribute to technical direction.

What they ask for

• 5+ years building and deploying machine learning or AI systems for production use cases.
• Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, or AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proficiency in Python and experience integrating models with external tools, APIs, databases, and services.

Nice to have

• Hands-on experience building AI agents with generative AI stacks; experience with agent frameworks, orchestration, or workflow systems.
• Experience with production LLM evaluation and observability, cloud deployment at scale, or adapting foundation models using SFT, RLVR, or LoRA.

Pay

$290,400 — $363,000 USD (base salary)

Tools

Python, LLMs, OpenAI APIs, SFT, RLVR, LoRA

AI focus

Develops production enterprise agents using LLM reasoning, tool use, memory, planning, multi-step reasoning, and multi-agent patterns; evaluates and improves their reliability and real-world impact.