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.

Valuable to Have:

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

Education:

- Any graduate degree from an accredited institution.

📌 AI Engineer (Hyderabad)
🏢 Careernet
📍 Hyderabad