Senior Data Scientist - AI Agents Team

Surf AI is the agentic operations platform for enterprise security teams. We don't just surface risk, we close it. Our platform connects context across identity, cloud, HR, IT, and SaaS systems, and uses specialized AI agents to drive remediation end-to-end, with human oversight at every step.

We're backed by Accel, Cyberstarts, and Boldstart Ventures, and trusted by Fortune 500 enterprises already deploying Surf in production.

Our team is small and senior, with deep roots in identity, security, and enterprise infrastructure. We work at the intersection of agentic AI and applied security - and we take seriously what it means to build systems that act in real enterprise environments.

Who are we looking for?

We're looking for a Senior Data Scientist with deep expertise in LLMs, NLP, and agentic systems to join our applied research and development AI team. You’ll design, prototype, and productionize AI systems that power conversational experiences, autonomous agents, and intelligent recommendations. This role blends hands-on research with real product impact - ideal for a builder who thrives at the intersection of machine learning, product, and engineering.

What you'll do

• Develop and deploy LLM-based systems, including conversational agents, retrieval-augmented generation (RAG), and recommendation engines.
• Lead applied research initiatives from ideation to production, focusing on measurable business and product impact.
• Build robust evaluation pipelines for prompt optimization, model quality, and agent reliability.
• Collaborate with backend and AI engineers to integrate models into scalable, monitored production environments.
• Contribute to our agent framework by designing workflows, memory mechanisms, and multi-step reasoning capabilities.
• Stay current with emerging LLM and agentic techniques, translating research into practical, production-ready solutions.

Required Skills & Experience

• 5+ years of experience as a Data Scientist or Applied ML Engineer with a strong track record of shipping production models.
• Proficiency in Python and experience with PyTorch, LangChain, and related LLM frameworks.
• Proven experience with LLM operations—prompting, embeddings, fine-tuning, RAG, and evaluation.
• Solid understanding of data modeling, experimentation, and performance measurement for ML-driven products.
• Experience collaborating in cross-functional teams of engineers, researchers, and product managers.

Why Join Us?
If you want to work on foundational systems, ship AI into production, and help define how agentic security actually operates, this is an opportunity to do it early and with real ownership.