Hiring: Python Backend Developer (AI & Agentic AI)
Location: India
Experience: 3–5 Years
Employment Type: Full-Time
We are looking for a highly skilled Python Backend Developer with strong experience in backend development, cloud-native applications, Generative AI, and Agentic AI frameworks. This role involves building scalable backend services, intelligent automation solutions, and AI-powered enterprise applications.
Key Responsibilities
Design, develop, and maintain scalable backend services using Python.
Build RESTful APIs and microservices-based applications.
Develop event-driven and asynchronous systems for high-throughput workloads.
Design and optimize SQL and No SQL database solutions.
Integrate Large Language Models (LLMs) into enterprise applications.
Build Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
Develop Agentic AI solutions using frameworks such as Lang Chain, Lang Graph, Crew AI, Auto Gen, or similar technologies.
Design multi-agent workflows involving planning, tool execution, memory management, and automation.
Deploy cloud-native applications on Azure, AWS, or GCP.
Containerize and deploy applications using Docker and CI/CD pipelines.
Collaborate with cross-functional teams to deliver scalable and reliable solutions.
Required Skills
Backend Development
Python
Fast API
Django
REST API Development
Microservices Architecture
Asynchronous Programming
Event-Driven Systems
Databases
Mongo DB
Postgre SQL / My SQL
Cosmos DB
Database Design & Optimization
Cloud & Dev Ops
Azure / AWS / GCP
Docker
CI/CD Pipelines
Git & Git Hub
Security & Integration
OAuth2
JWT Authentication
Auth0
Third-Party API Integrations
Generative AI & LLMs
Open AI, Anthropic, Gemini, Azure Open AI
Prompt Engineering
Embeddings
Semantic Search
Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search)
RAG Applications
Mandatory Agentic AI Experience
Lang Chain
Lang Graph
Crew AI
Auto Gen
Multi-Agent Architectures
Agent Orchestration
Tool Calling
Memory Management
Workflow Automation
Preferred Qualifications
Experience building AI-powered enterprise applications.
Knowledge of MCP (Model Context Protocol).
Experience with intelligent automation and workflow orchestration.
Exposure to healthcare, fintech, Saa S, or enterprise platforms.
Understanding of observability, monitoring, and distributed systems.
Kubernetes exposure is a plus.