Founding Backend Engineer

Job Description

Job Description

About zaimler

zaimler is building the semantic platform that links fragmented enterprise data and extracts meaning with knowledge-distilled models. We’re creating the foundation for AI systems that don’t just generate, but retrieve, link, and reason over enterprise knowledge.

In just over a year, we’ve begun partnering with Fortune 500 design partners in insurance, travel, and technology, deploying semantic AI infrastructure into some of the world’s most complex data ecosystems. Our platform enables enterprises to make data AI-ready from the start : automating ontology creation, data mapping, and retrieval-augmented reasoning at scale.

Our team comes from LinkedIn, Visa, Meta, and Branch, and has spent decades solving data and infrastructure challenges at scale. Backed by top VCs, we’re building the next foundational layer for enterprise AI.

About the role

We are seeking a Backend Engineer with deep experience in microservices architecture to join our team. The ideal candidate will have expertise in building and operating distributed backend systems using technologies like Java, Ray, PostGres, and Kubernetes. In this role, you’ll be critical in designing, implementing, and scaling the core microservices that power our AI and data platform.

You’ll help define service boundaries, build robust APIs, and ensure reliable communication across our ingestion, extraction, and knowledge graph systems. We're looking for someone who brings strong backend engineering fundamentals and a track record of delivering production-grade systems in fast-moving environments.

What you’ll do

• Design and implement core microservices that handle document ingestion, entity extraction, and graph construction
• Define and enforce clean service interfaces and communication protocols (e.g., gRPC, REST)
• Drive schema design and service ownership in a polyglot environment (Java + Rust)
• Contribute to deployment and runtime infrastructure (Helm, Kubernetes, vLLM, Ray)
• Build internal tooling and APIs that accelerate downstream teams working on retrieval and ranking
• Help scale systems as we ingest more enterprise data and expand graph resolution logic

You’ll thrive in this role if you

Nice to have

Why Join

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.