---
title: 'AI Infrastructure Engineer [Tooling] at Tessera Labs'
canonical: 'https://feeny.ai/job/ai-infrastructure-engineer-tooling-tessera-labs-in-the-3pakz6vkdwag'
type: 'job'
last_seen: '2026-10-31'
---

# AI Infrastructure Engineer [Tooling] at Tessera Labs

- **Company:** Tessera Labs
- **Location:** IN the, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-10-31
- **Apply:** https://jobs.ashbyhq.com/tessera-labs/f151b0cf-86d6-4176-b018-d4f9b8d34df2

## Job 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 engineering in Python or Go, with a track record of building and shipping tools, CLIs, or services that other engineers rely on
- Hands-on experience running LLM workloads in production, including serving with vLLM or a comparable stack (TGI, Triton, SGLang, Ray Serve)
- Experience building infrastructure for AI agents or LLM applications: orchestration, tool calling, evaluation, or agent runtimes
- Practical MLOps experience: model/prompt versioning, evaluation and release pipelines, and observability for ML systems
- Strong hands-on experience with Kubernetes, including writing or extending operators/controllers (Kubebuilder, Operator SDK, controller-runtime, or Kopf)
- 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 Qualifications

- GPU infrastructure experience: NVIDIA GPU Operator, MIG, KServe, or Karpenter-style autoscaling for inference
- Familiarity with agent frameworks and protocols (LangGraph, Model Context Protocol, OpenAI Agents SDK, or similar)
- LLM observability tooling such as OpenTelemetry, Langfuse, or Arize
- Experience with FluxCD, ArgoCD, or other GitOps controllers
- Cloud security and DevSecOps: security gates, SBOM generation, and compliance checks in CI/CD
- Deep networking expertise (service mesh, private connectivity, multi-cloud networking)
- Open-source contributions to AI infrastructure or Kubernetes ecosystem projects
- A passion for clean, unified infrastructure and a builder mindset

## Who You Are

- A builder who writes production-quality code, not just configuration
- Curious about the fast-moving AI infrastructure landscape and eager to learn new tools
- Comfortable owning and defending infrastructure decisions, with clear reasoning about trade-offs
- Experienced in startups and/or big tech environments
- Highly self-motivated with a strong ownership mindset
- Someone who enjoys building foundational systems that other engineers rely on

## Why Join Tessera Labs

- 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 Tessera Labs

## Company Overview
- **One-liner**: Tessera Labs provides a multi-agent AI platform that accelerates and de-risks enterprise ERP and critical systems modernization.
- **Entity Type**: Private (Series A; $60M raised)
- **Headquarters**: San Jose, California, United States (also listed as Palo Alto, CA)
- **Founded**: 2024
- **Founders**: Kabir Nagrecha, Ph.D. (CEO) and Anirudh Sriram (CTO)

## Core Business
- **Primary industry**: Enterprise Software & AI – focused on ERP transformation and system integration.
- **Target customers**: Large enterprises running SAP, Salesforce, Workday, Oracle, and other systems of record (B2B, Enterprise).
- **Mission or purpose statement**: “Unifying the disparate pieces of the enterprise into a coherent whole” – making complex transformations faster, safer, and more cost-effective.

## Products & Services
- **Tessera Platform (Multi-Agent AI)**: An AI-native, vendor-agnostic platform that automates data harmonization, code remediation, cross-system orchestration, and governance for ERP and connected systems. It compresses modernization timelines from years to weeks and reduces costs by more than half. [tesseralabs.ai](https://www.tesseralabs.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding raised: $60M in Series A (May 2026). [cbinsights.com](https://www.cbinsights.com/company/tessera-labs)
- **Notable Investors/Partners**: Andreessen Horowitz (a16z) led the Series A, with participation from Foundation Capital, Osage University Partners, Myriad Venture Partners, and A16Z GAMES. Key strategic advisors include Abdul Razack (EVP at Aon, ex-Google Cloud) and Prakash Gupta (founding CRO of Turing). [tesseralabs.ai/about](https://www.tesseralabs.ai/about)
- **Growth Signals**: 35 employees with 4% monthly headcount growth; 38 active job postings (up 46.2% MoM); proven in $250M+ programs and regulated industries; Series A raised just one month ago (May 2026). [linkedin.com/company/tesseralabsai](https://www.linkedin.com/company/tesseralabsai)

## Competitive Advantages
- **Vendor-agnostic platform** that works across SAP, Salesforce, Workday, and Oracle – avoiding lock-in unlike ERP vendor tools or point solutions.
- **Pre-trained on thousands of enterprise landscapes** and backed by deep expertise (founders and leadership have backgrounds at SAP, Oracle, Google, Stanford AI Lab).
- **Governance-first design**: every action is logged and traceable, built for regulated industries and audit compliance.
- **Speed vs. incumbents**: compresses timelines by ~90% compared to traditional system integrators, and costs by more than half.

## Strategic Focus
- **Current priorities**: Scaling the enterprise customer base, deepening multi-agent AI capabilities, and expanding the partner ecosystem. Hiring heavily across engineering, product, and consulting to support rapid go-to-market.
- **Direction for growth**: Continue to displace legacy system integrators and internal IT teams with an AI-first, governed approach to ERP modernization. Target large-scale SAP S/4HANA migrations, CRM/HCM harmonizations, and connected-system orchestration.

## Why Work Here
- **Culture highlights**: Described as “enterprise serious, AI forward” – a blend of deep enterprise gravity and cutting-edge AI research. Team includes PhDs, ex-Google/Microsoft/Netflix engineers, and former SAP directors.
- **Remote/hybrid/office policy**: Not explicitly stated, but headquarters in San Jose (CA) and Palo Alto, and job postings suggest a mix of on-site and remote flexibility (e.g., multiple backend engineer roles, a Technical Program Manager). Expect hybrid with a strong in-office core.
- **Notable perks or engineering culture**: Working on the frontier of enterprise AI with real-world impact on massive transformation projects. Opportunity to shape a new category of software. Leadership includes one of UC San Diego’s youngest PhDs and a YC alumnus.
- **Open technical roles**: Backend engineers, data engineers (ERP data harmonization), DevOps, product design, SAP consultants – 38 open positions as of mid-2026. [jobs.ashbyhq.com/tessera-labs](https://jobs.ashbyhq.com/tessera-labs)

## Sources
1. [tesseralabs.ai](https://www.tesseralabs.ai/)
2. [tesseralabs.ai/about](https://www.tesseralabs.ai/about)
3. [linkedin.com/company/tesseralabsai](https://www.linkedin.com/company/tesseralabsai)
4. [cbinsights.com/company/tessera-labs](https://www.cbinsights.com/company/tessera-labs)
5. [jobs.ashbyhq.com/tessera-labs](https://jobs.ashbyhq.com/tessera-labs)

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