AI Infrastructure Engineer [Tooling]

The role

You will design, build, and own the tooling and services that take AI agents from a developer's laptop to production in customer clouds. This involves writing software in Python or Go and running it on Kubernetes alongside LLM serving stacks.

What you will do

• Build and maintain internal CLIs, SDKs, and services in Python or Go
• Deploy, scale, and tune LLM inference using vLLM and similar serving stacks
• Build infrastructure for multi-agent systems including agent runtimes and sandboxing
• Own MLOps workflows including model and prompt versioning and evaluation pipelines
• Write Kubernetes operators and custom controllers
• Design, build, and operate production-grade AI agent infrastructure on Kubernetes and Terraform
• Support portable infrastructure across Azure, Oracle Cloud, GCP, and AWS
• Improve observability for AI systems
• Strengthen security and reliability for workloads in customer environments
• Design and own CI/CD for infrastructure, services, and model/agent releases

Required qualifications

• 5+ years of experience in infrastructure, platform, or backend engineering (7+ years for senior)
• Strong software engineering in Python or Go
• Track record of building and shipping tools, CLIs, or services
• Hands-on experience running LLM workloads in production with vLLM or a comparable stack
• Experience building infrastructure for AI agents or LLM applications
• Practical MLOps experience
• Strong hands-on experience with Kubernetes, including writing or extending operators/controllers
• Strong hands-on experience with Terraform and at least one of Azure, Oracle Cloud, GCP, or AWS
• Proven experience designing and owning CI/CD systems, GitOps-driven deployments, and release automation
• Solid networking fundamentals
• Proven experience deploying and operating real production systems

Nice to have

• GPU infrastructure experience: NVIDIA GPU Operator, MIG, KServe, or Karpenter-style autoscaling
• Familiarity with agent frameworks and protocols
• LLM observability tooling such as OpenTelemetry, Langfuse, or Arize
• Experience with FluxCD, ArgoCD, or other GitOps controllers
• Cloud security and DevSecOps
• Deep networking expertise
• Open-source contributions to AI infrastructure or Kubernetes ecosystem projects
• A passion for clean, unified infrastructure and a builder mindset

Benefits

• Work on cutting-edge AI infrastructure with real enterprise impact
• Own foundational systems at an early-stage, high-growth company
• Collaborate with a sharp, execution-focused founding team
• Shape how AI agents are deployed across the largest enterprise platforms in the world

About the company

Tessera Labs builds multi-agent AI systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, and Databricks. They are backed by Foundation Capital and led by a world-class founding team.