AI Engineer

Overview

Design, implement, and deploy intelligent systems powered by LLMs, agent orchestration frameworks, and embedding-based retrieval, blending hands-on engineering with solution thinking and cloud-native delivery.

What you'll do

• Build applications leveraging LLM APIs for summarization, Q&A, and decision support.
• Implement agentic workflows for multi-step task automation.
• Develop embedding pipelines integrated with vector stores for RAG and search optimization.
• Deploy AI components into cloud platforms using containerized CI/CD practices.
• Monitor model behaviors in production and optimize for performance and cost-efficiency.

What you'll need

• 2–4 years of experience in AI/ML application development.
• Strong programming skills in Python with LLM API integration and prompt workflows.
• Hands-on experience with Databricks (Spark SQL, PySpark, Delta Lake) and Snowflake.
• Familiarity with agent orchestration, embeddings, vector databases, and agentic tools.
• Experience with cloud-native delivery (Azure), CI/CD, and API integration patterns.

Details

• Location: Bangalore, Karnataka, India.