Lead AI Engineer

🕒 Setembro 21

🌪️ Oklahoma, Texas – Remoto

🌪️ Oklahoma – Remote 🤠 Texas – Remote

💵 $150.000 - $180.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Trio Workforce Solutions

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

<Trio Workforce Solutions> Trio Workforce Solutions é uma empresa de gestão de força de trabalho focada em saúde, que fornece sistemas de gerenciamento de fornecedores (Vendor Management System - VMS), provedores de serviços gerenciados (Managed Service Provider - MSP) e soluções de SaaS relacionadas a sistemas de saúde, consultórios médicos, centros de diagnóstico por imagem e agências de recrutamento. A empresa combina tecnologia baseada em nuvem, inteligência de mercado, análises, avaliação de candidatos habilitada por IA e credenciamento, além de suporte operacional para otimizar o recrutamento temporário, reduzir custos, acelerar contratações e gerenciar grupos de talentos internos e externos. A Trio enfatiza resultados mensuráveis e serviços de consultoria em nível empresarial, posicionando-se como um parceiro B2B que ajuda organizações de saúde a centralizar e controlar sua estratégia de força de trabalho.

Descrição

• 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 on quality, latency, cost, and operational complexity • Evaluate emerging AI technologies and determine adoption priorities • 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 detect regressions and hallucinations • Drive measurable system-quality improvements through experimentation and production learning • 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 • Improve production readiness and AI lifecycle management as the platform scales • Mentor the AI Engineering team and develop architectural judgment and engineering depth • Lead code and design reviews and enforce engineering standards • 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, evaluation infrastructure, platform orchestration, centralized inference, and retrieval and knowledge systems • Expected to assume formal leadership of the AI Engineering team as it grows

🎯 Requisitos

• 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; comfort in a polyglot environment • 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 • Preferred: Master's degree in Computer Science, AI, Machine Learning, or a related technical discipline • Preferred experience with team leadership or management, Azure cloud, Azure OpenAI, event-driven infrastructure, vector databases, semantic search, embeddings, enterprise knowledge systems, agent orchestration platforms, AI governance/security/compliance/responsible AI, .NET/C#, React/TypeScript, SQL Server, CosmosDB, Auth0, Azure DevOps, Datadog, and SaaS, workforce technology, healthcare, or high-growth technology organizations • Ability to perform essential functions with or without reasonable accommodation • Ability to remain stationary for approximately 50% of the workday, learn and apply new tasks and procedures, maintain attention, work independently, make timely workflow-related decisions, and meet productivity and/or time-based performance expectations