Backend AI/ML Engineer(Strong Python)

Position: Backend AI/ML Engineer(Strong Python) Location- Indore, MP (Hybrid , 3 Days a week) Experience: 3–8 years Full-time About the Role: This role transcends traditional backend development. We're seeking a highly skilled Backend AI/ML Engineer with strong Python expertise and a working understanding of Full Stack systems. You'll architect and scale backend infrastructures that power our AI-driven products , while also collaborating across f rontend, blockchain, and data science layers to deliver end-to-end, production-grade solutions. You will engineer the backbone for advanced AI ecosystems — building robust RAG pipelines, autonomous AI agents, and intelligent, integrated workflows. Your work will bridge the gap between foundationa l ML models and scalable, high-performance applications. Key Responsibilitie s Architect & Build Scalable AI Systems Design, develop, and deploy high-performance, asynchronous APIs using Python and FastAPI. Ensure scalability, security, and maintainability of backend systems powering AI workflows. Develop Advanced LLM Workflows Build and manage multi-step AI reasoning frameworks using Langchain and Langgraph for stateful, autonomous agents. Implement context management, caching, and orchestration for efficient LLM performance. Engineer End-to-End RAG Pipelines Architect full Retrieval-Augmented Generation (RAG) systems — including data ingestion, embedding creation, and semantic search across vector databases such as Pinecone, Qdrant, or Milvus. Design and Deploy AI Agents Construct autonomous AI agents capable of multi-step planning, tool usage, and complex task execution. Collaborate with data scientists to integrate cutting-edge LLMs into real-world applications. Workflow Automation & Integration Implement system and process automation using n8n (preferred) or similar platforms. Integrate core AI services with frontend, blockchain, or third-party APIs through event-driven architectures. Full Stack Collaboration (Good to Have) Contribute to frontend integration and ensure smooth communication between backend microservices and UI layers. Understanding of React, Next.js, or TypeScript is a plus. Collaborate closely with full stack and blockchain teams to align AI services with user-facing applications. Optimize & Deploy ML Models Serve and maintain a variety of ML models in production. Implement robust monitoring, logging, and testing practices for AI-driven systems. Required Skills & Qualifications Expert-level Python for scalable backend system development. Strong experience with FastAPI, async programming, and RESTful microservices. Deep hands-on experience with Langchain and Langgraph for LLM workflow orchestratio n. Proficiency in Vector Databases ( Pinecone, Qdrant, Milvus) for semantic search and embeddings. Production-level RAG implementation experience. Experience integrating ML models with backend APIs. Strong understanding of containerization (Docker, Kubernetes) and CI/CD workflows. Excellent problem-solving, architecture, and debugging skills Preferred / Good-to-Have: Frontend Familiarity : Basic to intermediate knowledge of React.js or similar frameworks for integration testing and full-stack alignment. Workflow Automation: Experience with n8n, Airflow, or equivalent orchestration tools. Blockchain Awareness : Understanding of blockchain integration with AI/ML workflows is a strong plus. (At CCube, Blockchain = Full Stack + AI — cross-functional collaboration is highly valued.) Broad ML Knowledge : Familiarity with classical ML models (SVM, GBM, Clustering) and deep learning architectures (CNNs, RNNs, Transformers). Protocol Design: Experience defining custom communication protocols (e.g., MCP – Model Context Protocol). DevOps/MLOps : Hands-on with AWS / GCP / Azure, pipelines, and model deployment tools. Data Engineering Basics: Exposure to ETL pipelines, Kafka/RabbitMQ, or streaming architectures.