AI Agent Engineer

What you'll do

• Own the lifecycle of multiple AI agents, from prototyping through production, including versioning, monitoring, and maintenance.
• Build evaluation frameworks and offline and online quality-improvement workflows using MLflow.
• Collaborate on reliable data pipelines, identify data quality gaps, and present agent insights to business stakeholders.

What they ask for

• Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field – or equivalent practical experience.
• 4+ years of experience in MLOps, AI/ML engineering, or data engineering in production environments.
• Experience designing and executing evaluation workflows for non-deterministic AI systems, including offline and online evaluation.
• Hands-on Databricks agent development and deployment; deep expertise in MLflow; strong proficiency in Python; and proficiency in SQL.

Nice to have

• Experience with BI tools (e.g. Sigma, PowerBI), RAG pipelines, or Streamlit or Gradio.
• Knowledge of responsible AI / AI governance frameworks.

Pay

$95,000.00 - $140,000.00 USD base salary

Tools

Databricks, MLflow, Python, SQL, LangChain, LlamaIndex, AutoGen, Delta Lake

AI focus

Develop and manage AI agents, evaluate their correctness, safety, and business quality, monitor production behavior, and improve them using structured evaluation and human feedback.