Backend Developer – Python & AI Application Development (Data-Oriented)

Job Title: Senior Python Developer - AI Platforms & Agentic AI Application

Experience:

Location:

Notice Period:

Role Overview

Senior Python Developer

Key Responsibilities:

Python Backend Development

• Design, develop, and maintain scalable backend applications using

  Python

  .
• Build high-performance APIs using

  Django, Django REST Framework (DRF), and FastAPI

  .
• Develop reusable, secure, and maintainable microservices.
• Build and manage RESTful APIs for internal and external integrations.
• Implement authentication, authorization, API security, rate limiting, and performance optimization.
• Write clean, testable, and production-ready code following engineering best practices.
• Perform code reviews and mentor junior engineers.

AI Application Development

• Build and integrate AI-powered applications leveraging

  LLMs and Agentic AI frameworks

  .
• Develop conversational AI, copilots, intelligent assistants, and workflow automation solutions.
• Design and implement

  RAG (Retrieval-Augmented Generation)

  pipelines.
• Integrate external tools, APIs, databases, and enterprise platforms into AI workflows.
• Build multi-agent systems capable of planning, reasoning, and executing complex business processes.
• Develop prompt management, memory handling, tool calling, and agent orchestration capabilities.

Data Engineering & AI Integration

• Design and implement

  data pipelines

  for ingestion, transformation, and storage of large-scale datasets.
• Manage and optimize the

  data layer

  for AI/ML applications.
• Build scalable

  ETL workflows

  and integrate with vector databases, RAG pipelines, and LLM-based systems.
• Ensure data quality, lineage, and governance across AI workflows

AI Platform & Integration

• Contribute to the development of internal AI platforms and reusable AI services.
• Integrate AI models from OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs.
• Work with vector databases and semantic search systems.
• Develop AI service layers for scalable enterprise deployments.
• Support model evaluation, observability, monitoring, and feedback collection.

Cloud & DevOps Collaboration

• Deploy applications using Docker and container-based environments.
• Work with CI/CD pipelines for automated testing and deployments.
• Collaborate with platform teams on Kubernetes and cloud-native deployments.
• Ensure application scalability, availability, and security.

Requirements

• Strong hands-on experience in

  Python backend development

  and API design.
• Proven expertise in

  data engineering

  : pipelines, ETL, data modeling, and database management.
• Hands-on AI/ML experience with deployment of

  LLM applications

  on GPU-powered infrastructure (NVIDIA GPUs, AWS/GCP/Azure GPU instances, Kubernetes GPU orchestration).
• Familiarity with

  frontend technologies

  (HTML, CSS, JavaScript, React/Vue).
• Experience with

  version control (Git)

  ,

  containerization (Docker)

  , and

  CI/CD pipelines

  .
• Knowledge of

  cloud services (AWS, GCP, Azure)

  for scalable AI deployments.
• Strong understanding of

  system design, distributed computing, and microservices architecture

  .
• Experience in

  data governance, performance optimization, and cost-efficient ML model deployment

  .

If interested, please share your updated CV on AkshayGR@norwintechnologies.com