Tessera Labs
AI Infrastructure Engineer [Tooling]
$200K–$230K
Remote in the U.S. · Remote · Full-time · Posted Oct 29, 2026
- Experience
- 5+ years in infrastructure, platform, or backend engineering; 7+ years for senior.
About the job
Build and operate tooling and cloud infrastructure that deploys, serves, evaluates, and manages AI agents in customer environments.
What you'll do
- Build internal Python or Go tools, services, and Kubernetes controllers for AI workloads.
- Deploy and tune LLM inference and multi-agent infrastructure, including MLOps workflows and observability.
- Operate Kubernetes and Terraform infrastructure, CI/CD, and GitOps across customer cloud environments.
What they ask for
- Strong Python or Go software engineering experience building tools, CLIs, or services.
- Production experience with LLM serving and AI agent or LLM application infrastructure.
- Hands-on Kubernetes experience, including operators or controllers, and Terraform experience with at least one named cloud provider.
- Experience owning CI/CD and GitOps deployments, plus networking fundamentals and production systems experience.
Nice to have
- GPU infrastructure, agent frameworks or protocols, and LLM observability tooling.
- GitOps controllers, cloud security/DevSecOps, deep networking expertise, or relevant open-source contributions.
Pay
$200K – $230K (base salary)
Tools
Python, Go, Kubernetes, Terraform, vLLM, Azure, Oracle Cloud, GCP
AI focus
Build and operate infrastructure for LLM serving, AI agents, MLOps, evaluation, and safe production releases.
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