Senior Backend Developer with GenAI Expertise

23 hours ago

Noida, Uttar Pradesh, India beBeeArtificial Full time ₹ 30,00,000 - ₹ 40,00,000

Job Title:

"Python Lead - Generative AI"

We are seeking a highly motivated and hands-on Python lead with a solid background in backend development and practical experience in building and implementing GenAI-powered microservices.

The ideal candidate will have a minimum of 3 years of core Python development experience, with a focus on writing clean, scalable code and mentoring junior team members.

This role is perfect for a senior individual contributor who is passionate about driving the implementation of cutting-edge AI technologies.

  • 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 models.
  • Collaborate on DevOps: Work closely with DevOps 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 to junior engineers on best practices and solution implementation.
  • Leverage orchestration: Implement agentic workflows using tools like Semantic Kernel or similar orchestration frameworks.
  • Ensure quality: Maintain high standards for system reliability, scalability, and security across all GenAI-enabled applications.

Required Skills and Qualifications:

  • 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 Hugging Face Transformers.
  • Cloud & APIs: Proven ability to deploy LLMs on cloud platforms and design and integrate with REST APIs.
  • DevOps Fundamentals: Working knowledge of CI/CD practices, Docker, and Kubernetes.

Benefits:

  • Opportunity to work on cutting-edge AI projects.
  • Chance to mentor and guide junior engineers.
  • Professional growth and development opportunities.

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