Python Lead/Architect – Generative AI Specialist

16 hours ago

Meerut, Uttar Pradesh, India beBeeGenerativeai Full time US$ 20,00,000 - US$ 25,00,000

We are seeking an experienced Python Architect to join our team in the exciting field of Generative AI. The ideal candidate will have a strong foundation in backend engineering and recent production experience with GenAI.

This role is ideal for individuals who are passionate about architecting scalable AI solutions, writing production-grade code, and enabling DevOps practices for AI-powered microservices in enterprise environments.

Key Responsibilities:

  • Design and implement Python-based microservices integrating GenAI capabilities
  • Develop RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI/Azure OpenAI or open-source models
  • Collaborate with DevOps engineers to enable CI/CD, monitoring, and observability for GenAI pipelines
  • Work with ML engineers and data scientists to optimize GenAI system performance and scalability

Core Skills Required:

  • Expert-level Python development skills including experience with FastAPI, Flask, asyncio
  • Strong understanding of microservices architecture and distributed systems
  • Hands-on experience with GenAI tools: LangChain, LlamaIndex, Hugging Face Transformers
  • Practical knowledge of deploying LLMs on cloud platforms (Azure OpenAI preferred)
  • Experience with REST API design and integration with external AI services
  • Familiarity with vector databases like FAISS, Pinecone, or Weaviate
  • DevOps practices: CI/CD with GitHub Actions, Docker, Kubernetes, Terraform
  • Proven ability to design scalable, maintainable, and testable AI-driven applications

Secondary / Nice-to-Have Skills:

  • Experience with agentic orchestration systems such as Autogen, Semantic Kernel, LangGraph
  • Exposure to fine-tuning open-source LLMs and deployment in containerized environments
  • Understanding of AI observability, performance tuning, and system logging
  • Background in MLOps and collaboration with Data Science/ML teams

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