Artificial Intelligence Engineer

5 days ago


Mount Abu, Rajasthan, India beBeePython Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title: Python Lead/Architect – Generative AI

Experience: 8-12 Years

Job Description:

We are seeking a seasoned Python Architect to spearhead the development of scalable AI solutions. The ideal candidate will have 8–10 years of core Python development experience, along with 2–2.5 years of focused engineering work in GenAI and microservices.

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
  • Work closely with DevOps engineers to enable CI/CD, monitoring, and observability for GenAI pipelines
  • Collaborate with ML engineers and data scientists to optimize GenAI system performance and scalability
  • Lead design sessions, code reviews, and mentor junior engineers on architectural best practices
  • Implement agentic workflows using Semantic Kernel, LangGraph, or similar orchestration tools

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
  • Familiarity with agile development and cross-functional engineering collaboration


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