Generative AI Fullstack Engineer

9 hours ago

Remote, India SBSHR Full time ₹ 18,00,000 - ₹ 29,00,000 per year

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Job Title: Generative AI Full Stack Engineer

Location: Remote

Experience: Overall 6+ Years (Minimum 3–4 Years in AI/ML/GenAI Development)

About the Role

We are seeking a highly skilled Generative AI Full Stack Engineer with strong expertise in AI/ML development, agentic AI solutions, and Azure cloud services. The ideal candidate will have deep experience with GenAI frameworks, data manipulation libraries (NumPy, Pandas), and hands-on implementation of large language models (LLMs). This role demands proficiency in building, deploying, and maintaining scalable AI/ML solutions with modern DevOps and MLOps practices.

Key Responsibilities

  • Design, develop, and deploy AI/ML and GenAI solutions, including LLM-based applications and agentic AI systems.
  • Implement and manage FastAPI services for scalable AI application development.
  • Perform advanced data manipulation, analysis, and preprocessing using NumPy and Pandas.
  • Lead MLOps workflows including model training, testing, deployment, and monitoring.
  • Collaborate with cross-functional teams to deliver AI-driven products and features.
  • Maintain and optimize CI/CD pipelines and ensure robust version control using Git.
  • Work with Azure AI services, integrating and deploying AI models on Azure infrastructure.
  • Apply DevOps best practices using Docker, Kubernetes, Jenkins, and Terraform for containerization and infrastructure automation.

Required Skills & Qualifications

  • Experience: Overall 6+ years of software engineering with at least 3–4 years in AI/ML/GenAI development (AI/ML Engineer, GenAI Developer, or Data Scientist).
  • Programming: Strong expertise in Python with hands-on experience in GenAI frameworks (LangChain, LLaMA, OpenAI API, etc.).
  • Data Handling: Proficiency in NumPy and Pandas for data manipulation and analysis.
  • LLM Expertise: Proven track record in implementing and managing large language models (LLMs).
  • API Development: Experience with FastAPI for backend/API development.
  • Cloud: Hands-on experience with Azure AI services (Agentic AI on Azure is mandatory).
  • MLOps/DevOps: Strong knowledge of CI/CD, Docker, Kubernetes, Jenkins, and Terraform.
  • Familiarity with automated testing and scalable AI architecture.

Nice to Have

  • Experience with agent-based AI systems or multi-agent architectures.
  • Knowledge of other cloud platforms (AWS/GCP) is a plus.
  • Familiarity with advanced AI tools and orchestration frameworks.

Job Types: Full-time, Permanent

Pay: ₹1,800, ₹2,900,000.00 per year

Benefits:

  • Work from home

Work Location: Remote

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