About zaimler

AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.

zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.

zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.

About the Role

You'll own our inference and model-serving infrastructure end to end. This isn't a research role. It's a build role: you're setting up and scaling the systems that let our agents actually run in production, fast and reliably, at increasing concurrency.

You report to Sofus and work closely with our ML and infra teams.

What You’ll Own

Set up and scale inference/Ray Serve for ML and LLM model serving, integrated with our data analysis and agent workflows
Scale agent GPU infrastructure for concurrency and efficiency across multiple agent workloads
Optimize and improve the engine builder and model server that power scalable agent orchestration

What You Need

Proven ability to build scalable ML/AI platforms from scratch, end-to-end, for production use cases. You've owned a zero-to-one build before, or can show you're capable of it
Deep understanding of the inference stack: vLLM, KV cache, and the optimization layers underneath model serving
Experience building distributed systems for AI/ML workloads at scale, connecting them to real product or vertical integrations
3+ years of relevant experience. We care about capability, not tenure

Nice to Have

Ray / Ray Serve experience
Familiarity with AIBrix

Why Join

A rare chance to shape both company and product direction as an early team engineer
Work alongside engineers and researchers from LinkedIn, Visa, Meta, and Branch
Onsite culture in San Mateo, built for deep collaboration and high-velocity building
Full benefits (medical, dental, vision, 401k)
We sponsor H-1B visas and assist with immigration

We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer.

About the company

Zaimler builds an enterprise data platform that makes data AI-ready by simplifying and organizing complex datasets for advanced applications. The platform ingests and structures data, automates taxonomy creation and knowledge-graph representations, and enables scalable preparation for machine learning and business intelligence. Led by veterans from LinkedIn, Meta, and Visa, Zaimler targets large-scale enterprises with an emphasis on AI readiness and scalable data infrastructure, backed by venture funding and early design partnerships. Its goal is to become the standard platform that lets large organizations unlock the value of their data through AI-ready infrastructure and scalable AI applications.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

Get referred to zaimler

See people who can refer or advise you

Simplify's Take

What believers are saying

Zaimler says it runs inside regulated enterprises and supports GDPR, HIPAA, and 23 NYCRR 500.
PremierAlts lists $35 million raised and a $107 million valuation in February 2026.
Hiring across San Mateo, New York, Texas, and Bangalore signals active commercialization.

What critics are saying

Context-layer software faces direct competition from Snowflake, Databricks, and hyperscalers adding native features.
Enterprise deployments demand deep integrations and governance, dragging sales cycles beyond 2026.
If regulated customers delay adoption, Zaimler becomes a feature, not a standalone company.

What makes zaimler unique

Sofus Macskassy and Biswajit Das bring LinkedIn, Meta, Visa, and Truera data-platform pedigree.
Zaimler auto-infers enterprise ontologies and serves query-time context inside customer VPCs.
It unifies SAP, Salesforce, and Snowflake data without migration or zero-copy export.

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Benefits

Health Insurance

Flexible PTO

Company Equity

zaimler

Machine Learning Infrastructure Engineer

About the job