AI Engineer – Python, Generative AI, LLM/RAG, Cloud AI & MLOpsMLOps & Kubernetes

About the role

The role will combine hands-on software engineering with technical leadership across machine learning models, LLM-based applications, data pipelines, cloud AI services and production-grade AI platforms. The AI Tech Lead will translate business and technical requirements into scalable AI-driven solutions, guide architecture decisions, mentor AI/ML engineers and collaborate with stakeholders to deliver reliable, secure and maintainable products.

What you'll do

• Lead the design, development and deployment of AI/ML and Generative AI solutions
• Architect scalable AI platforms that meet functional, performance, security, reliability and maintainability requirements
• Collaborate with business and technical teams to translate requirements into practical AI-driven solutions
• Develop, optimize and evaluate machine learning models, LLM-based applications, AI agents and data pipelines
• Design RAG solutions using embeddings, vector databases, retrieval strategies and prompt engineering

What you need

• 6–8 yrs of experience
• Python
• LLMs
• Kubernetes
• Machine learning
• SQL
• Scikit-learn
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• AWS
• GCP
• Terraform
• ETL
• Deep learning
• Prompt engineering