Top Tech Jobs & Startup Jobs

Build and operate production data infrastructure: ingest, transform, and route large-scale streaming and batch data from heterogeneous enterprise sources; design ontology/semantic models and tuple/graph representations; ensure isolation, data quality, observability, and low-latency delivery for ML and product teams.

Design, build, and maintain core backend services, APIs, and scalable data pipelines. Drive architecture for multi-tenant, strictly isolated SaaS systems, implement enterprise integrations, enforce backend standards, participate in reviews, and collaborate with AI/ML, infra, and frontend teams to deliver secure, production-grade infrastructure.

Design and build a scalable integration framework and connectors for ERPs, SaaS, and internal systems. Own end-to-end ETL pipelines, lead technical integration execution with enterprise customers, partner with platform teams, and create standards, documentation, and playbooks to scale integrations.

Design end-to-end product experiences for a complex, enterprise platform: research, wireframes, high-fidelity prototypes, design system ownership, multi-role workflows, and close collaboration with PMs and frontend engineers to ensure high-quality implementation.

Design, fine-tune, and deploy LLMs and RAG pipelines in private, secure environments. Build multi-agent systems, private inference infrastructure, evaluation frameworks, and observability tooling. Collaborate with platform teams to ensure secure, scalable production AI for enterprise customers.