Python AI Backend Developer

• 5 years of experience in backend development with strong hands-on expertise in Python.
• Strong experience developing RESTful APIs and scalable backend services using Python frameworks such as FastAPI Flask or Django.
• Hands-on experience with Azure Functions and building serverless event-driven applications on Microsoft Azure.
• Strong experience with Azure OpenAI and integrating LLMs into production-grade applications.
• Good understanding of NLP embeddings semantic search vector databases and Retrieval-Augmented Generation (RAG).
• Hands-on experience with LangGraph for building stateful multi-step AI workflows and agentic applications.
• Experience designing and implementing AI Agents including tool calling agent orchestration workflow management memory and multi-agent patterns.
• Strong experience with document processing including document ingestion parsing chunking metadata extraction classification and information retrieval.
• Experience working with PDFs Word documents OCR structured/unstructured data and document-based AI solutions.
• Strong understanding of prompt engineering LLM evaluation context management and hallucination mitigation.
• Experience integrating AI/LLM capabilities with backend services databases APIs and external systems.
• Good understanding of Azure cloud services and designing secure scalable cloud-native solutions.
• Experience with Git CI/CD automated testing logging monitoring and production troubleshooting.
• Strong understanding of software engineering principles clean code design patterns error handling and API security.
• Ability to translate business requirements into scalable AI/agent-based technical solutions.
• Good communication skills and ability to collaborate with frontend data cloud and product teams.

Python Azure Functions Azure OpenAI NLP Embeddings LangGraph AI Agents Document Processing REST APIs RAG

• Vector databases such as Azure AI Search Pinecone Weaviate or pgvector
• LangChain
• Azure AI Document Intelligence
• OCR and document extraction pipelines
• Event-driven architecture / Azure Service Bus
• Docker and Kubernetes
• PostgreSQL / NoSQL databases
• LLM evaluation and observability
• Experience with multi-agent architectures and agent orchestration