AI Engineer - Trust & Explainability
virtual vocationsDenver, CO
About the role
To enhance the AI platform's trust and explainability, the full-time remote AI Engineer - Trust & Explainability will develop tracing and evaluation capabilities for multi-agent workflows, ensuring transparency and reliability in AI outputs while collaborating with product teams to create user-facing explanations.
Key Responsibilities:
Build tracing and correlation across multi-agent workflows, ensuring readability and understanding of agent actions
Develop platform primitives for customer-facing explanations, including confidence metadata and summaries of agent reliance
Integrate and extend open-source observability and evaluation frameworks to meet platform needs
Required Qualifications:
3+ years of professional software engineering experience with independent feature delivery in production
Proficiency in Python with production experience; familiarity with TypeScript is a plus
Hands-on experience with large language model integrations and related technologies
Solid understanding of algorithms, data structures, and software design fundamentals
Experience with distributed tracing or observability tooling in a production environment
Matching similar jobs
JOB OVERVIEW
Experience level
Senior
Location
Denver, CO
Occupation
Software Developers
Industry
Custom Computer Programming Services
Posted
yesterday
Tired of running searches?
Rank the roles you'd take once, and matches like these arrive on their own.
CREATE PROFILE