AI Engineer

About the role

production-grade AI agents capable of structured reasoning, planning, and agent systems and predictive ML solutions that power real-world enterprise workflows — going well beyond chatbot or RAG-style application development. ideal candidate will design AI architectures that combine LLM-based reasoning

What you'll do

• Design and architect modular AI agent
• Build and deploy supervised and unsupervised
• ML models for prediction, classification, anomaly detection, and pattern
• Recognition tasks in production environments
• Develop decision-making loops that balance

What you need

• 5–9 yrs of experience
• Machine learning
• Scikit-learn
• Python
• Prompt engineering
• PyTorch
• Databricks
• Any graduate

Good to have

• GCP
• MLOps
• Kafka
• ERP
• System design
• LLMs