Founding Backend Engineer at zaimler

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microservices Architecture, Distributed Systems, API Development, Schema Design, Service Ownership, Cloud Environments, Secure APIs, Fault Tolerance, Knowledge Graphs, Entity Resolution, NER, Schema Linking, Java, Rust, Python, Kubernetes

Industry

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’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. \n 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). \n

Responsibilities

Design and implement core microservices that handle document ingestion, entity extraction, and graph construction. Contribute to deployment and runtime infrastructure while ensuring reliable communication across systems.