# AI Infrastructure Engineer [Tooling] at Tessera Labs

Tessera Labs is hiring an AI Infrastructure Engineer [Tooling] for a remote role open to applicants in United States. It pays $200k-$230k a year and Level rates it Builds AI ●●●●; you can [apply on Tessera Labs](https://jobsbylevel.com/go/26969bce-7883-4d27-9827-bf5738a734d9?utm_medium=ai-agent).

AI Level 4, AI centrality 97 out of 100. Remote (Remote in the U.S.).

## Details

- Company: [Tessera Labs](https://jobsbylevel.com/companies/tessera-labs)
- AI level: AI Level 4 (score 97 out of 100)
- Location: Remote (Remote in the U.S.)
- Salary: $200k-$230k
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/26969bce-7883-4d27-9827-bf5738a734d9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=ai-infrastructure-engineer-tooling-at-tessera-labs-7ca523

## Prepare for this job

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## Description

AI Infrastructure Engineer [Tooling] About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, Databricks, and more. Our mission is simple but ambitious: bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI. About the Team The AI Platform team builds and operates the foundational infrastructure that lets Tessera's multi-agent systems run reliably, securely, and consistently across customer environments. That spans the portable cloud foundation (Kubernetes, networking, automation) and the AI-specific layer on top of it: model serving, agent runtimes, evaluation and release tooling, and the internal CLIs and services our engineers use every day. The work directly enables us to onboard and operate enterprise customers under strict security and compliance constraints while preserving developer velocity. It reduces integration risk, standardizes operations across hyperscalers, and makes sure product teams can ship AI features safely without infrastructure becoming a bottleneck. The Role As an AI Infrastructure Engineer, you'll design, build, and own the tooling and services that take Tessera's AI agents from a developer's laptop to production in customer clouds. You'll write real software in Python or Go — CLIs, controllers, and internal services — and run it on Kubernetes alongside LLM serving stacks like vLLM. This is a hands-on IC role open at mid to senior level. Mid-level engineers will own well-scoped components end to end; senior engineers will also set technical direction, make architectural calls across the platform, and mentor others. We'll calibrate level based on experience and interviews. What You'll Do AI infrastructure tooling Build and maintain internal CLIs, SDKs, and services in Python or Go that let engineers provision, deploy, test, and debug AI agents across environments Deploy, scale, and tune LLM inference using vLLM (and similar serving stacks), including GPU scheduling, autoscaling, batching, and cost/latency trade-offs Build infrastructure for multi-agent systems: agent runtimes, tool and connector execution, sandboxing, state management, and safe rollout of new agent versions Own MLOps workflows: model and prompt versioning, evaluation pipelines, artifact registries, and promotion from staging to production Write Kubernetes operators and custom controllers (CRDs) that encode how Tessera's AI workloads are deployed and managed Cloud platform and reliability Design, build, and operate production-grade AI agent infrastructure on Kubernetes and Terraform Support Tessera's portable infrastructure across Azure, Oracle Cloud, GCP, and AWS, with primary ownership of at least one cloud variant Improve observability for AI systems: tracing of agent and LLM calls, token and GPU utilization, latency, error rates, and cost Strengthen security and reliability for workloads running in customer environments under strict compliance constraints Automation and developer experience Design and own CI/CD for infrastructure, services, and model/agent releases, using GitOps and pipeline-as-code Build self-service tooling that removes manual work: environment provisioning, secret rotation, dependency updates, compliance checks, and release management Partner closely with AI, product, and platform engineers to unblock delivery Champion an automation-first mindset: if something is done twice, it should be automated; if it's automated, it should be observable and maintained like production code Must-Have Qualifications 5+ years of experience in infrastructure, platform, or backend engineering (7+ years for senior) AI infrastructure tooling: strong software

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Source: https://jobsbylevel.com/jobs/ai-infrastructure-engineer-tooling-at-tessera-labs-7ca523

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