AI Engineer

About the role

prototype to production. The role covers model development, LLM and agentic application engineering, and the data and deployment pipelines that keep these systems accurate, scalable, and reliable.

What you'll do

• Build, evaluate, and deploy machine learning and deep learning models for production
• Develop LLM-based and agentic applications, including RAG pipelines and tool use
• Fine-tune and optimise models for accuracy, latency, and cost using PEFT and quantisation
• Design evaluation frameworks, benchmarks, and guardrails to safeguard model quality
• Build and automate data pipelines for training, inference, and model monitoring

What you need

• 2–5 yrs of experience
• Machine learning
• SQL
• LLMs
• Python
• Scikit-learn
• MLOps
• MCA or B.Tech or B.E. or M.Tech or B.Sc or M.Sc or BCA

Good to have

• ETL
• Prompt engineering
• AWS
• PyTorch
• TensorFlow
• FastAPI