Backend Engineer

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

We’re looking for a Backend Engineer with deep experience in microservices architecture to join our founding Bangalore team. The ideal candidate will have expertise in building and operating distributed backend systems.

In this role, you’ll play a key part 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.

As one of the early engineers in our Bangalore office, you’ll have the opportunity to shape both the technical foundations and the culture of a growing team, working closely with our counterparts in San Mateo to build the next generation of AI infrastructure.

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

Have 4+ years of experience building backend services in modern cloud environments Are fluent in at least one strongly typed language (Rust, Java, etc.) and comfortable in dynamic ones (Python) Understand distributed systems, service discovery, and observability (we use OpenTelemetry + Grafana) Have experience implementing secure APIs and backend systems, including RBAC, authentication, and authorization patterns Have strong opinions on API boundaries, fault tolerance, and making systems boring (in a good way) Enjoy taking vague problems and turning them into clean, testable services Are comfortable working in a high-context, fast-moving startup environment with minimal overhead

Experience working with knowledge graphs, embeddings, or semantic search Familiarity with vLLM, Ray, or distributed compute runtimes Background in data-intensive systems or working with unstructured inputs Exposure to entity resolution, NER, or schema linking systems

A rare opportunity to be an early engineer in our Bangalore office, shaping both the company’s direction and the core product from the ground up. Competitive salary, full benefits, and meaningful equity. Work alongside engineers and researchers from LinkedIn, Visa, Meta, and Branch. An onsite, high-collaboration culture designed for deep technical work and fast iteration. Comprehensive benefits package (health insurance, meals, equipment, and other local perks).

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