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1 week ago

Noida, India TechChefz Digital (TCZ Digital PVT LTD) Full time

Python Lead - Generative AIExperience : 3-6 YearsWe are seeking a highly motivated and hands-on Python Lead with a solid background in backend development and practical, production-level experience in Generative AI. The ideal candidate will have a minimum of 3 years of core Python development experience, with a focus on building and implementing GenAI-powered microservices. This role is perfect for a senior individual contributor who is passionate about writing clean, scalable code, mentoring junior team members, and driving the implementation of cutting-edge AI Responsibilities : - Implement and Build : Develop and implement Python-based microservices that integrate Generative AI capabilities.- Design & Contribute : Design and build core components of GenAI-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines and LLM orchestration.- API Development : Create and maintain robust RESTful APIs and backend services using frameworks like FastAPI or Flask, connecting them with OpenAI, Azure OpenAI, or other open-source models.- Collaborate on DevOps : Work closely with DevOps and MLOps engineers to ensure the smooth deployment, monitoring, and observability of GenAI pipelines and services.- Mentor and Guide : Lead design and code review sessions, providing technical guidance and mentorship to junior engineers on best practices and solution implementation.- Leverage Orchestration : Implement agentic workflows using tools such as Semantic Kernel, LangGraph, or similar orchestration frameworks.- Ensure Quality : Maintain high standards for system reliability, scalability, and security across all GenAI-enabled Skills Required : - Python : Strong proficiency in Python development, with hands-on experience using frameworks like FastAPI or Flask.- Microservices : Practical understanding of microservices architecture and distributed systems.- Generative AI : Experience with core GenAI tools and libraries, including LangChain, LlamaIndex, or Hugging Face Transformers.- Cloud & APIs : Proven ability to deploy LLMs on cloud platforms (preferably Azure OpenAI) and design and integrate with REST APIs.- Vector Databases : Familiarity with vector databases such as FAISS, Pinecone, or Weaviate.- DevOps Fundamentals : Working knowledge of CI/CD practices, Docker, and Kubernetes.- Problem-Solving : A proven ability to contribute to the design and implementation of maintainable and testable AI-driven / Nice-to-Have Skills : - Agentic Systems : Experience with orchestration systems like Autogen, Semantic Kernel, or LangGraph.- LLM Operations : Exposure to fine-tuning open-source LLMs and their deployment in containerized environments.- Observability : Understanding of AI observability, performance tuning, and effective system logging.- Agile Development : Experience working in an agile, cross-functional engineering team (ref:hirist.tech)

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