Description

Key Skills: Prompt Engineering, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), AWS, ETL, Agent Orchestration, Tool and Function Calling

Roles & Responsibilities:

• Design, develop, and deploy AI agents that reason over enterprise data and automate business workflows.
• Build reliable tools, interfaces, and context layers that enable agents to interact with data warehouse environments.
• Apply Retrieval-Augmented Generation, system prompt design, tool and function calling, and multi-agent orchestration patterns.
• Partner with data engineering teams to ensure agent outputs are grounded in accurate, complete, and governed data.
• Establish engineering practices for developing, evaluating, and maintaining production-grade agentic applications.

Skills Required:

• 11-13 years of professional software engineering experience, including hands-on AI engineering experience.
• Strong hands-on experience with Retrieval-Augmented Generation, prompt engineering, large language models, and AI agents.
• Experience building agentic applications and interfaces that connect language models with enterprise data and tools.
• Ability to design scalable AI engineering solutions for complex data platform environments.
• Practical understanding of prompt design, tool or function calling, and agent interaction patterns.

Good to Have:

• Experience with ETL or data pipelines.
• Hands-on experience with AWS.

Education:

• Any graduate degree from an accredited institution

Key Skills

Education

Any Graduate