AI/ML Engineer — Agentic Systems (ID 1423)

About the role

Design and develop agentic AI systems that can verify their own outputs and recover from failures. Develop and optimize LLM-based agent workflows , including prompt design, tool use, structured outputs, retrieval, and context management. Write and review SQL queries against undocumented production database schemas and determine whether the available data supports specific conclusions.

What you'll do

• Design and develop agentic AI systems that can verify their own outputs and recover from failures
• Develop and optimize LLM-based agent workflows , including prompt design, tool use, structured outputs, retrieval, and context management
• Write and review SQL queries against undocumented production database schemas and determine whether the available data supports specific conclusions
• Build evaluation frameworks by defining success criteria, implementing measurements, and monitoring system accuracy
• Investigate cases where systems complete successfully but generate valid-looking yet incorrect outputs

What you need

• 4–5 yrs of experience
• Machine learning
• SQL
• LLMs
• Prompt engineering
• Any graduate