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 frontend, 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 foundational 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 integratingML 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.
