--- title: 'Backend Engineer at zaimler' canonical: 'https://feeny.ai/job/backend-engineer-zaimler-bengaluru-ddk4wnsf4vkj' type: 'job' last_seen: '2026-09-08' --- # Backend Engineer at zaimler - **Company:** zaimler - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-11-04 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/zaimler/31008cbb-9ba9-422b-89d9-5589a345f708 ## Job description ## 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. ## 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 - 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 ## Nice to have - 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 ## Why Join - 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). 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 zaimler ## Company Overview - **One-liner**: zaimler provides a unified data context and governance layer that enables enterprises to build deterministic AI agents by curating siloed data into a live, governed ontology. - **Entity Type**: Private (Seed stage; raised $10M) - **Headquarters**: San Mateo, California, USA - **Founded**: 2024 - **Founders**: Not publicly named (described as industry veterans with experience in data infrastructure and ML research) ## Core Business - **Primary industry/industries**: Data Infrastructure & Analytics, Enterprise AI - **Target customers**: B2B – large enterprises in insurance, travel, healthcare, and technology sectors - **Mission or purpose statement**: “Make your data AI ready” – one governed model over existing data, serving every agent, analyst, and application. ## Products & Services - **Platform**: The context and governance layer for agentic AI. Connects sources (ODS, lakehouses, systems of record), maps a unified model, and serves every workload from one foundation. - **Ontology**: Auto-inferred by a semantic analyzer, validated by the team. Reduces ontology-building from quarters to days. - **Explorer**: Natural-language query interface that traces every answer back to its source across all connected systems. - **Governance**: Single control plane for policy, lineage, and audit. Enforces access policies across every source without moving data. ## Market Standing - **Valuation/Market Cap**: Not disclosed (Seed stage, raised $10M) - **Key Metric**: Total funding of $10M (Seed round); signing 7-figure contracts with early enterprise customers. - **Notable Investors/Partners**: Not explicitly named in available sources; investors are likely venture firms (undisclosed). - **Growth Signals**: Team grew from 1 to ~12 employees (+150% YoY according to LinkedIn, though likely undercounted); hiring pace of 3 roles per 90 days; has significant traction with large contracts. ## Competitive Advantages - **Auto-inferred ontology**: Uses semantic analysis to automatically map business concepts, replacing manual, quarter-long ontology builds. - **Sovereign deployment**: Supports VPC, air-gapped, or on-prem deployments – critical for regulated industries. - **Real-time context update**: Changes in source systems are reflected live without data movement. - **Unified governance**: Access policies enforced from a single point of entry across all sources. ## Strategic Focus - **Current priorities**: Scaling the platform to serve more enterprise workloads; expanding go-to-market in insurance, healthcare, and travel verticals; building out the engineering team (Data Infrastructure Engineer, Forward Deployed Engineer, BI Engineer). - **Direction**: Becoming the standard infrastructure layer for agentic AI – enabling autonomous agents to reason over fragmented enterprise data with precision and trust. ## Why Work Here - **Culture**: Lean, high-impact team of 12-50 people with deep expertise in data infrastructure and ML research. Emphasis on solving hard problems for enterprise AI. - **Remote/Hybrid/Office**: Hybrid and on-site options depending on role: - San Mateo, CA – On-site (Data Infrastructure Engineer) - London, UK – Hybrid (Forward Deployed Engineer) - Bengaluru, India – On-site (BI Engineer) - **Notable perks**: Not detailed in sources, but working at an early-stage, well-funded AI infrastructure startup with proven founder pedigree and large customer traction offers significant equity upside and ownership. ## Sources 1. [zaimler.ai](https://zaimler.ai/) 2. [jobs.lever.co/zaimler](https://jobs.lever.co/zaimler) 3. [linkedin.com/company/zaimler](https://linkedin.com/company/zaimler) 4. [builtin.com/company/zaimler](https://builtin.com/company/zaimler) 5. [getclera.com/companies/zaimler-ai](https://www.getclera.com/companies/zaimler-ai) ## Other roles at zaimler - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-zaimler-london-bmnf4zwdetry) — London, United Kingdom - [Data Infrastructure Engineer (Query Engine)](https://feeny.ai/job/data-infrastructure-engineer-query-engine-zaimler-san-mateo-0v41r43srxm3) — San Mateo, CA - [BI Integration Engineer](https://feeny.ai/job/bi-integration-engineer-zaimler-bengaluru-e17pw5jbaxff) — Bengaluru, India - [Director of Marketing](https://feeny.ai/job/director-of-marketing-zaimler-san-mateo-nw9fjrradncn) — San Mateo, CA - [Head of Product](https://feeny.ai/job/head-of-product-zaimler-san-mateo-fm34fzygn69c) — San Mateo, CA - [Software Engineer in Test](https://feeny.ai/job/software-engineer-in-test-zaimler-bengaluru-vpb8vwf80z2g) — Bengaluru, India - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-zaimler-bengaluru-88fze44c7c21) — Bengaluru, India - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-zaimler-san-mateo-bakhw51wsntp) — San Mateo, CA - [Cloud Infrastructure Engineer](https://feeny.ai/job/cloud-infrastructure-engineer-zaimler-bengaluru-hmf5pzhkerg9) — Bengaluru, India - [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-zaimler-san-mateo-vtjvm5effrqe) — San Mateo, CA