About this role
### **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.
### **Must-Have Skills**
**Python | Azure Functions | Azure OpenAI | NLP | Embeddings | LangGraph | AI Agents | Document Processing | REST APIs | RAG**
### **Good-to-Have**
- 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
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.