Principal Software Engineer / Data Scientist, AI

The available sources do not contain information about the company name for rounx.com.; United States; On-site; USD 97,000 - 314,000; Full time

Job summary

The available position is for a Principal Software Engineer / Data Scientist to lead the development of an agentic AI foundation for database engineering and operations. The role covers full-stack, full-lifecycle agentic engineering, including memory, evaluation systems, and scalable knowledge graphs.

Responsibilities include building agentic memory, implementing closed-loop evaluation infrastructure, advancing agent architecture, deploying agentic workflows to production, and creating

Qualifications

• 10+ years of experience designing and shipping full-stack agentic AI systems.
• Strong proficiency in Python and Java.
• Solid understanding of distributed systems and data science background is a plus.
• Experience with production-scale software delivery and collaboration with database teams.
• Excellent communication skills.

Responsibilities

• Build agentic memory and data workflows for production systems.
• Implement closed-loop evaluation infrastructure for model quality.
• Advance agent architecture and orchestration capabilities.
• Deploy agentic workflows to production environments.
• Create guardrails for agent reliability and safety.

Skills

Python

Java

Distributed systems

LLM orchestration

Evaluation & guardrails

Tools

MLflow

Airflow

Trino

Knowledge graphs

Job description

We are seeking a Principal Software Engineer / Data Scientist to lead the development of an agentic AI foundation for database engineering and operations. The role involves full-stack, full-lifecycle agentic engineering, including knowledge graphs, agentic memory, and unified evaluation systems. Responsibilities include building agentic memory, implementing closed-loop evaluation infrastructure, advancing agent architecture, deploying agentic workflows to production, and creating guardrails for agent reliability. Collaboration with database teams to standardize patterns and improve scalability is essential.

Candidates should have 10+ years of experience designing and shipping full-stack agentic AI systems, with strong skills in Python and Java, and a solid understanding of distributed systems. Experience with LLM orchestration, evaluation, and guardrails is required. Familiarity with data and agent stacks such as MLflow, Airflow, Trino, and knowledge graphs is a plus. A track record of delivering production software at scale and strong communication skills are essential. A background in data science is highly desirable. This role offers a competitive salary range of $97,300–$313,700 annually, with higher ranges in select cities.