Lead AI Engineer

American Health Staffing Group

. Own the architecture of the Digital Worker platform and AI capabilities embedded in Trio's products .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI architecture and production systems, with a strong focus on LLMs, agentic workflows, and quality evaluation. Proven ability to mentor teams, establish architectural standards, and translate technical strategies into business objectives.

Highest-signal resume keywords

AI ArchitectureProduction LLM-Powered SystemsPython ProgrammingAgentic SystemsMachine Learning Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringAI Quality EvaluationDistributed SystemsSoftware ArchitectureTechnical Design ReviewsAI Orchestration FrameworksMonitoring and Logging StandardsReliability and Performance ObjectivesEvaluation Frameworks

Soft Skills

MentoringCommunication

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Data ScienceBachelor's Degree in Information Systems

Industry Keywords

Digital Worker PlatformAI CapabilitiesEmerging AI TechnologiesAgent OrchestrationWorkflow ExecutionTechnical TradeoffsBusiness Impact

Tech Stack

Tools & technologies

Distributed SystemsPython

About the role

Key responsibilities & impact

Own the architecture of the Digital Worker platform and AI capabilities embedded in Trio's products
Establish design principles, engineering patterns, and architectural standards for AI systems
Lead technical design reviews and make tradeoff decisions involving quality, latency, cost, and operational complexity
Evaluate emerging AI technologies for adoption
Design and build production systems using LLMs, retrieval architectures, agentic workflows, and tool use
Build reusable frameworks for agent orchestration, tool integration, workflow execution, and memory
Solve the team's hardest technical problems hands-on
Own standards for measuring AI quality, including accuracy, groundedness, safety, latency, and business impact
Build and extend evaluation frameworks to catch regressions and hallucinations
Define monitoring, tracing, and logging standards for production AI systems
Establish reliability and performance objectives and serve as senior escalation for critical AI production issues
Mentor the AI Engineering team and lead code and design reviews
Partner with Product, Platform, Data, Security, and executive stakeholders
Translate business objectives into technical strategy and technical tradeoffs into business terms
Extend the Digital Worker framework to new workflows
Improve AI quality, observability, reliability, cost efficiency, and delivery speed across production systems

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience
7+ years in software engineering, data engineering, or a closely related technical field
2+ years building and operating production LLM-powered systems
Demonstrated depth in agentic systems, RAG architectures, or AI orchestration frameworks
Solid understanding of machine learning fundamentals
Strong distributed systems and software architecture fundamentals
Professional proficiency in Python
Track record of evaluating AI system quality quantitatively and acting on the results
Experience mentoring engineers on technical and architectural decisions
Excellent written and verbal communication with technical and executive audiences
Ability to perform essential functions with or without reasonable accommodation

Benefits

Comp & perks

Fully remote work arrangement
Option to work from the Frisco, TX or Edmond, OK offices
Coaching and mentoring toward future people-management leadership
Reasonable accommodation for applicants with disabilities