Python Backend Developer -GenAI/OpenAI/Fast API

6 - 12 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

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Job Description

Job Title - Python Backend Developer -GenAI/OpenAI/Fast API

Location -

Total exp :

Interview Mode : 1 virtual; 1 face to face


Role Overview

We are seeking a skilled Python Backend Developer with hands-on experience in FastAPI, system architecture, and end-to-end deployments. Exposure to Generative AI technologies, especially Azure OpenAI, is a strong advantage. This role involves building scalable backend systems, integrating AI capabilities, and working with unstructured data formats like PDFs and Word documents

Key Responsibilities

  • Design and develop robust backend systems using Python and FastAPI
  • Build and deploy RESTful APIs to support AI-driven applications
  • Implement end-to-end system solutions, including architecture, development, testing, and deployment
  • Integrate Azure OpenAI models and embeddings into enterprise applications (RAG, prompt engineering)
  • Process and transform unstructured/semi-structured content (PDFs, DOCs, JSON) into structured formats
  • Collaborate with cross-functional teams and clients to deliver scalable solutions
  • Ensure security, performance, and reusability of backend components
  • Communicate technical concepts effectively to both technical and non-technical stakeholders

Qualifications

  • 6–12 years of backend development experience with Python
  • Strong expertise in FastAPI, API design, and integration
  • Experience with Azure OpenAI, embeddings, and prompt engineering
  • Familiarity with semantic search and handling unstructured data
  • Proven track record of end-to-end system implementation and deployment
  • Excellent communication and client-facing skills

Nice to Have

  • Exposure to GraphRAG, Agentic AI, or similar advanced Gen AI architectures
  • Experience with LangChain or other orchestration frameworks
  • Background in document-heavy domains like legal, finance, or compliance
  • Knowledge of CI/CD pipelines, containerization (Docker), and cloud deployments (Azure preferred)

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