Teams at Rubiscape Private Limited

Build and operate Rubiscape’s AI platform infrastructure, including LLM gateways, RAG pipelines, prompt management, vector databases, inference APIs, guardrails, model serving, and observability. Integrate open-source and hosted models across SaaS, BYOC, and air-gapped deployments while supporting multi-tenant security, audit logging, usage metering, and regulated-sector requirements.

Design and operate production MLOps infrastructure for large-scale model training, deployment, monitoring, and rollback across SaaS, cloud, on-premises, and air-gapped environments. Build ML pipelines, model registries, containerized serving platforms, observability systems, and governance controls. Collaborate with engineering, security, compliance, and customer teams while managing production model reliability, performance SLOs, and incident response.

Design, build, and own distributed backend microservices supporting data ingestion, ML pipeline orchestration, model serving, and real-time analytics. Develop Kafka streaming solutions, PostgreSQL schemas, REST and gRPC APIs, Redis caching, and service observability. Deploy and debug Kubernetes services, implement security controls, participate in on-call rotations, and improve reliability. The role requires expertise in distributed systems, database optimization, microservice patterns, and production-grade backend engineering using Node.js, Python, or Go.