ML Infrastructure Engineer

About the Role

This is a hands-on infrastructure engineering role at an early-stage enterprise AI company building a context and data governance layer for AI agents deployed in highly regulated industries. You will own the inference and model-serving infrastructure end to end, making production AI agents fast, reliable, and scalable as concurrency grows.

What You'll Do

• Design, build, and own inference and model-serving infrastructure from initial architecture through production deployment.

• Scale systems that enable AI agents to run reliably and efficiently under increasing concurrent load.

• Identify and resolve infrastructure bottlenecks in collaboration with ML and platform engineering teams.

• Drive performance optimization across latency, throughput, and reliability for production workloads.

What We're Looking For

• 5+ years building and operating ML inference systems, model-serving platforms, or ML infrastructure in production environments.

• Hands-on experience designing and scaling inference-serving systems using frameworks such as TensorFlow Serving, TorchServe, Triton, KServe, or equivalent custom solutions.

• Strong distributed systems fundamentals, including experience managing concurrent requests and resource allocation under load.

• Proficiency with containerization and orchestration technologies, particularly Docker and Kubernetes, for ML workloads.

• Experience with cloud infrastructure platforms (AWS, GCP, or Azure) for deploying and managing ML systems.

• Solid monitoring and observability skills using tools such as Prometheus, Grafana, ELK, or distributed tracing solutions.

• Proficiency in at least one systems or backend language: Python, Go, Rust, C++, or Java.

• Familiarity with knowledge graphs, semantic search, or graph databases is a plus.

• Background in agentic or autonomous AI systems, real-time inference, or enterprise data infrastructure is a plus.

Location

On-site in San Mateo, California, United States. Visa sponsorship is not available for this role.