Quick Overview
Job Description
Job Summary
Location: United States
Experience: 3+ years in production AI/data systems
Job Type: Permanent
Thinking Minds' client is looking for an experienced AI Engineer II to enhance the trust and explainability of their AI platform. This role is crucial for building the tracing, evaluation, and explanation capabilities within a multi-agent workflow. The engineer will contribute to the AI Platform that supports hundreds of credit union and lender customers, ensuring the system's trust and security align with organizational standards.
Ideal Candidate Should Have
LLM-based systems experience
Explainability and observability frameworks
Hands-on coding skills
Understanding of multi-agent workflows
Interest in trust, tracing, and evaluation
Role Overview
The role involves writing code to trace agent actions and extending open-source frameworks for explainability and observability. The engineer will develop primitives for product teams to provide explanations to end users, such as lenders and credit unions.
This position is integral to the platform's development, working closely with a team lead and architects to ensure robust trust guarantees.
Key Responsibilities
Develop and enhance tracing capabilities in multi-agent workflows
Extend and adopt open-source frameworks
Build primitives for product teams
Collaborate with Security Operations for trust guarantees
Write reliable and maintainable code
Engage in feature development and bug fixes
Support and mentor other engineers
Top Skills and Modules
LLM-based systems
Explainability frameworks
Observability tools
Multi-agent workflow tracing
Security and trust integration
Open-source software development
Hands-on coding experience
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