AI Systems Engineer

1 week ago


Chennai, Tamil Nadu, India beBeeai Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Job Title: AI Systems Engineer

This role focuses on designing, developing, and maintaining scalable backend services for cutting-edge AI systems. The successful candidate will be responsible for building and enhancing AI platforms using Large Language Models (LLM) and AI agent technologies.

About the Role:

  • We are seeking a highly skilled engineer with expertise in Python backend development and experience in LLM optimization, RAG development, and AI agent platform implementation.
  • A strong understanding of API integration for MCP server/client is required, as well as proficiency in DevOps practices including build automation and containerization.
  • The ideal candidate will have experience with CI/CD pipelines and cloud services such as GCP and AWS, along with excellent problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities are essential, as the selected candidate will work closely with cross-functional teams to deliver high-quality software solutions.
  • Able to work independently and manage time effectively, this individual should also have strong problem-solving skills and attention to detail.

Requirements:

  • Strong proficiency in Python with experience in backend development.
  • Proficiency in Generative AI technologies such as LLM Optimization, RAG development, and AI Agent platforms.
  • Experience in API integration for MCP server/client if needed.
  • Experience with DevOps practices, including build automation and containerization.
  • Experience with CI/CD pipelines and cloud services (GCP, AWS).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Ability to work independently and manage time effectively.

Preferred Qualifications:

  • Experience with AI and machine learning projects.
  • Knowledge of modern frontend frameworks and libraries.
  • Experience developing and implementing asynchronous architectures.

About Us:

As we continue to innovate and push the boundaries of what is possible with AI, we are committed to fostering a culture that values collaboration, creativity, and continuous learning.


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