AI Engineer - 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 an AI Engineer to design, build, and scale production-grade AI systems powered by Large Language Models (LLMs) and autonomous agents.
You’ll bridge research and engineering—turning cutting-edge models into reliable, observable, and high-impact product features.
This role is ideal for engineers who love combining deep technical work with real product impact, collaborating closely with data scientists, backend engineers, and product teams.

What you'll do

• Develop and deploy LLM-based systems and AI agents that interact with data sources, APIs, and user interfaces.
• Implement retrieval-augmented generation (RAG), fine-tuning, and prompt-optimization workflows for specific product domains.
• Build and maintain the infrastructure for agent orchestration, evaluation, and lifecycle management.
• Collaborate with Data Science to integrate models into production pipelines with strong reliability, monitoring, and observability.
• Contribute to internal frameworks for tool-use, memory, and multi-agent coordination.

Required Skills & Experience

• 5+ years of experience in software engineering, machine learning, or AI systems development.
• Strong programming skills in Python and hands-on experience with LangChain, LangGraph, or similar frameworks.
• Proven experience integrating LLMs (OpenAI, Anthropic, local models) into production applications.
• Proficiency with PyTorch, Hugging Face, or other model-serving ecosystems.
• Familiarity with containerized deployments (Docker, Kubernetes) and cloud-native development (AWS, GCP, or Azure).
• Understanding of retrieval, embeddings, and vector databases (pgvector, Pinecone, Weaviate).
• Strong system design skills and experience building robust APIs or services around ML components.

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.