Description

You will build and deploy end-to-end AI/ML solutions, including LLMs, RAG systems, and AI agents.

This role is on-site.

Responsibilities

• Develop backend services and data pipelines to support AI applications.
• Implement scalable MLOps workflows for model deployment and monitoring.
• Collaborate across teams to deliver impactful AI products.
• Design and maintain RAG architectures and agent orchestration systems.

Required Skills

• Strong proficiency in Python and SQL.
• Hands-on experience with ML frameworks such as PyTorch and Scikit-learn.
• Practical experience with the LLM ecosystem, RAG, and agent orchestration.
• Solid understanding of ML fundamentals and deployment strategies.
• Exposure to cloud platforms: AWS, Azure, or GCP.
• 5+ years of relevant experience.

Preferred Skills

• Experience building production-grade AI agents.
• Background in distributed systems or large-scale data processing.

Key Skills

Education

Any Graduate