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 NoSQL 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 LangChain, LangGraph, CrewAI, AutoGen, 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
- FastAPI
- Django
- REST API Development
- Microservices Architecture
- Asynchronous Programming
- Event-Driven Systems
Databases
- MongoDB
- PostgreSQL / MySQL
- Cosmos DB
- Database Design & Optimization
Cloud & DevOps
- Azure / AWS / GCP
- Docker
- CI/CD Pipelines
- Git & GitHub
Security & Integration
- OAuth2
- JWT Authentication
- Auth0
- Third-Party API Integrations
Generative AI & LLMs
- OpenAI, Anthropic, Gemini, Azure OpenAI
- Prompt Engineering
- Embeddings
- Semantic Search
- Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search)
- RAG Applications
Mandatory Agentic AI Experience
- LangChain
- LangGraph
- CrewAI
- AutoGen
- 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, SaaS, or enterprise platforms.
- Understanding of observability, monitoring, and distributed systems.
- Kubernetes exposure is a plus.
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