AI Engineer

Core Responsibilities

• Containerize applications using Docker and deploy using Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Work closely with Data Scientists to convert research code into productionready Python

MustHaveSkills

Handson MLOps tools experience (e.g. MLflow, Weights & Biases) for:
Experiment trackingModel registry
Practical experience working with Large Language Models (LLMs)

Good understanding of:
AI agents & agentic workflows

LLM orchestration frameworks

Reasoning / chaining patterns