Staff Applied AI Engineer, Product & Agent Performance

Triwill Group; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Triwill Group, on behalf of a partner company, seeks a Staff Applied AI Engineer, Product & Agent Performance based in the United States. This staff-level role focuses on reliability, measurability, and production-readiness of AI agents in healthcare workflows.

You will shape agent behavior across prompting, retrieval, context, memory, tool use, evaluation, and human escalation, partnering with Product and Engineering to build accurate, steerable, transparent, and cost-efficient AI systems for

Qualifications

• Staff‑level individual contributor role in Applied AI engineering.
• Experience shaping AI agent behavior in production systems is a plus.
• Healthcare domain familiarity is beneficial.

Responsibilities

• Ensure AI agents are reliable, measurable, and production-ready in healthcare workflows.
• Shape agent behavior across prompting, retrieval, context, memory, tool use, evaluation, and human escalation.
• Collaborate with Product and Engineering to build accurate, steerable, and cost-efficient AI systems.

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Applied AI Engineer, Product & Agent Performance based in the United States.

This is a staff-level individual contributor role focused on making AI agents reliable, measurable, and production-ready in complex healthcare workflows.
You will shape agent behavior across prompting, retrieval, context, memory, tool use, evaluation, and human escalation.
Your work will directly influence how AI systems perform across real-world, high-impact use cases serving healthcare organizations.
You will establish rigorous evaluation practices that identify failure modes, quantify risk, and guide model and product release decisions.
The role combines deep technical execution with product judgment, requiring you to translate production evidence into practical improvements.
You will work closely with Product and Engineering to build AI systems that are accurate, steerable, transparent, cost-efficient, and trustworthy.
This is an opportunity to define a scalable product-layer AI performance discipline in an environment where safety and responsible innovation matter.