This role serves as the primary technical contact for supporting multi-agent AI workflows in live, regulated production environments
Job Summary
This role serves as the primary technical contact for supporting multi-agent AI workflows in live, regulated production environments.
The incumbent will perform root cause analysis on agent execution logs to distinguish between model, orchestration, and data issues.
Candidates must possess strong analytical skills to reason about AI system behavior end-to-end while communicating complex concepts to non-technical users.
Matching Summary
This role serves as the primary technical contact for supporting multi-agent AI workflows in live, regulated production environments.
Skills & Requirements
Must-have
Python proficiency for debugging and scripting
SQL skills for data investigation and validation
Experience with production AI/ML system support
Root cause analysis of agent orchestration failures
Knowledge of agentic libraries like LangChain
Nice-to-have
Familiarity with big-data technologies like Kafka
Understanding of machine learning fundamentals
Experience in regulated clinical environments
Proactive curiosity about emerging AI tech
Key Requirements
Bachelor's degree in Computer Science or related field
4–7 years of experience supporting complex production systems