Description

You will bridge the gap between backend engineering and machine learning operations to support Gen AI and LLM workflows.

Responsibilities

• Build and deploy RAG and Multi-Agent applications.
• Orchestrate machine learning workflows using tools like Airflow or Kubeflow.
• Develop backend services using Python with a focus on software engineering best practices.
• Manage CI/CD pipelines using DevOps tools like Jenkins or Tekton.

Required Skills

• 5+ years of professional software engineering experience.
• 3+ years of backend development experience specifically in Python.
• 2+ years of experience in Cloud Engineering and Services.
• Hands-on experience with MLOps and Generative AI, including LLMs.
• Practical experience building RAG and Multi-Agent applications.
• Proficiency in Python and C/C++.
• Experience with ML workflow orchestration tools such as Airflow or Kubeflow.
• Experience with DevOps tools including Jenkins or Tekton.
• Strong knowledge of object-oriented and object-functional programming.

Key Skills

Education

Any Graduate