zaimler

You'll build the frontend for a **graph semantic layer** that gives AI agents **contextual understanding** of enterprise data. As a founding engineer, you'll shape the product from scratch and work directly with initial design partners. This role offers **immense ownership and impact** in a seed-stage startup backed by industry veterans.

You'll join the founding team to deploy **AI-native data infrastructure** in enterprise environments, blending infrastructure, product, and delivery. You'll be a **first responder and operator**, working across Kubernetes, Ray clusters, and semantic pipelines to bring deployments from concept to scale. This role offers the chance to **shape the infrastructure layer for autonomous agents** at a seed-stage company.

You'll design and build the core distributed storage and coordination systems for a **semantic platform that powers autonomous AI agents**. You'll own consistency, availability, and performance at scale for **knowledge graph workloads**. This is a founding engineer role at a seed-stage company **backed by senior infra engineers from LinkedIn and Visa**.

You'll deploy and scale **AI-native data infrastructure** in real-world enterprise environments, acting as a bridge between ML and operations. You'll own the full stack from Kubernetes clusters to semantic pipelines, ensuring **seamless customer deployments** and rapid value delivery. This founding team role offers **direct impact on product direction** and close collaboration with early adopters across insurance, travel, and technology.

You'll design and implement features across frontend, backend, and APIs for **context infrastructure powering AI agents**. You'll own features from idea to production, directly impacting how enterprises reason over fragmented data. **This is a seed-stage role** with high ownership on a small senior team.

You'll lead the **design and implementation** of core backend systems for **AI infrastructure**. You will own critical systems end-to-end while mentoring a growing team. This is a hands-on role at a seed-stage startup building the context infrastructure for autonomous agents.

You'll build the **distributed data layer** powering our semantic platform for autonomous AI agents. You'll design **high-throughput ingestion** and **real-time processing** systems that make enterprise data understandable. Join a seed-stage team deploying with major enterprises.

You'll design and implement core microservices that power our AI and data platform, defining service boundaries and building robust APIs. You'll help scale systems as we ingest more enterprise data and expand graph resolution logic. This role offers a rare chance to be a founding engineer shaping both company and product direction.

You'll own and build zaimler's **documentation strategy** from scratch, defining tooling, architecture, and standards. You'll work directly with engineering to produce API references, SDK guides, and platform docs for **senior engineers and data teams**. This role touches everything from customer onboarding to internal runbooks, making complex **knowledge graph infrastructure** accessible and self-serve.

You'll own **messaging and positioning** for a seed-stage AI infrastructure startup that builds knowledge graphs for autonomous agents. Your work will directly shape **the public launch and enterprise GTM strategy** from scratch. This is a rare opportunity to define a new category in the agentic era.

You'll join our ML team developing novel algorithms to turn raw enterprise data into structured knowledge graphs and embeddings. You'll improve retrieval, ranking, and reasoning performance through feedback loops and prototype methods for LLMs to extract real-world knowledge. This is a rare opportunity to shape the product as a founding engineer at a seed-stage company.

You'll join a seed-stage startup building the **context infrastructure for autonomous AI agents**, creating a semantic graph platform that gives agents real-time reasoning over enterprise data. You'll develop and deploy **models for knowledge extraction, fine-tuning LLMs**, and powering next-gen AI systems across major enterprise clients.

You'll embed security into CI/CD pipelines and automate threat responses for a seed-stage company building the context infrastructure for AI agents. Your work will protect **cloud infrastructure** and ensure **compliance with SOC 2 and GDPR** as the platform scales. You'll collaborate closely with a small, senior team to **shape security from day one**.

You'll build the foundation of zaimler's cloud infrastructure as an early hire in our Bangalore office. You'll support customers across Asia-Pacific, ensuring systems scale globally. This role offers the chance to be a founding engineer shaping both company and product direction.

You'll design, build, and own the cloud infrastructure powering zaimler's semantic platform for the **agentic era**. You'll architect scalable systems and **orchestrate GPU resources** for ML workloads in a founding engineer role. This is a **build-from-scratch position** at a seed-stage company with major enterprise deployments.

You'll own the quality and reliability of zaimler's **knowledge graph infrastructure** for enterprise AI agents. Build **end-to-end test infrastructure** and performance benchmarks to ensure correctness and scalability. You'll collaborate with a senior team deploying with major enterprises.

You'll design and implement **core microservices** for document ingestion, entity extraction, and graph construction, defining service boundaries and robust APIs. You'll shape the **distributed backend systems** powering our AI platform, working with a senior team deploying with major enterprises. This is a rare opportunity to be an **early Bangalore office engineer** building next-generation AI infrastructure.

You'll be zaimler's first Product Manager, owning the product strategy and roadmap for our **knowledge graph infrastructure** for AI agents. You'll drive adoption by **shaping the SDK and developer experience**, turning early traction into real enterprise pull. This is a chance to **define a new product category** alongside a small, senior team.