Lead AI Engineer

About the role

Design and implement end-to-end AI/ML solutions including LLM-based applications Build RAG pipelines using vector databases and enterprise data sources Build machine learning models that automate their training, validation, monitoring, and retraining Develop APIs and services to operationalize AI capabilities across the organization

What you'll do

• Build AI Systems (Core Responsibility)
• Design and implement end-to-end AI/ML solutions including LLM-based applications
• Build RAG pipelines using vector databases and enterprise data sources
• Build machine learning models that automate their training, validation, monitoring, and retraining
• Develop APIs and services to operationalize AI capabilities across the organization

What you need

• 10–18 years in data science & ai
• Machine learning
• LLMs
• AWS
• MLOps
• NLP
• ETL
• Any graduate

Good to have

• Microservices
• Docker
• Kubernetes
• CI/CD