AI Backend Engineer

R-LOGICS SOLUTIONS LIMITED hiring AI Backend Engineer in Chennai, Tamil Nadu, India APPLICATION LINK: [Upgrade to PRO to see link] DATE OF JOB POSTING: Tue, 10 Mar 2026 09:45:15 GMT DESCRIPTION: A technology publisher reports that an early-stage company building a next‑generation "AI Factory" platform is hiring a senior Backend Engineer to design and scale the orchestration and middleware that power visual AI workflows. The platform combines a React Flow-based authoring UX, a Canonical IR for workflow orchestration, multi-runtime execution (LangGraph, CrewAI), and policy-as-code governance (OPA/Rego) with enterprise multi-tenant controls. The role focuses on runtime orchestration and distributed systems engineering rather than model training. Core responsibilities include designing a Canonical IR–based workflow orchestrator, building runtime adapters for LangGraph and CrewAI, and implementing execution engines for synchronous and asynchronous multi-step DAG workflows. The engineer will implement agent-to-agent handoffs, human-in-the-loop pause/resume, execution state management, and high-performance async systems (Python asyncio, task queues, streaming). Middleware duties involve an agent registry/gateway, workflow compiler, runtime router, and an OPA-backed policy enforcement gateway. The position requires API contract design with a React Flow frontend, runtime-agnostic execution, lifecycle management, and tenant isolation. Security, observability, RBAC/OIDC integration, static analysis, and strong test discipline are emphasized. Required skills: advanced Python and AsyncIO, FastAPI/Flask, microservices, REST/GraphQL, and hands-on experience with LangGraph/CrewAI, DAG/workflow engines, OPA/Rego, message systems (Kafka/Redis/RabbitMQ), and Kubernetes-native deployment. Preferred: React Flow integration, schema-driven design, AI governance experience, and platform engineering background. Success metrics at 12 months include production-grade orchestration, deployed runtime adapters, integrated OPA policies, multi-tenant execution at scale, Canonical IR powering workflows, high-concurrency async execution, solid API contracts, full test coverage, and zero security incidents. Ideal candidates bring 5+ years backend experience, distributed systems expertise, platform thinking, security-first mindset, and cross-functional collaboration experience. Hashtags: #AIInfrastructure #BackendEngineering #Orchestration #LangGraph #CrewAI #OpenPolicyAgent #OPA #Rego #Kubernetes #AsyncIO #DistributedSystems #AIPlatform #WorkflowAutomation #HumanInTheLoop #DevSecOps NOTE: PLEASE APPLY ON LINK DIRECTLY