Backend AI/ML Engineer(Strong Python)

Position: Backend AI/ML Engineer(Strong Python)

Location- Indore, MP (Hybrid , 3 Days a week)

Experience: 38 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.