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.

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