AI Engineer, Quality – Evals

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🕒 Abril 21

🏄 California – Remoto

🏄 California – Remote

💵 $170.000 - $220.000 / ano

⏰ Tempo Integral

🟢 Júnior

🔧 Engenheiro de QA (Qualidade de Software)

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Fieldguide

SiteLinkedInTodas as Vagas

11 - 50 funcionários

💼 Consultoria

🏥 Saúde

🤖 Inteligência Artificial

Consulting • Healthcare • Artificial Intelligence

Fieldguide é uma plataforma moderna de IA premiada, projetada para empresas de consultoria e auditoria. Ela ajuda a otimizar os compromissos, aumentar a eficiência e melhorar a satisfação do cliente por meio de suas análises de engajamento de ponta a ponta. A plataforma suporta vários serviços, incluindo consultoria de risco, cibersegurança e privacidade, conformidade regulatória, preparação para SOC e auditorias, auditorias de TI e auditorias financeiras. Fieldguide se integra com ferramentas de produtividade e TI populares para proporcionar uma experiência de usuário contínua, permitindo o gerenciamento automatizado de solicitações, documentos e relatórios. Confiada pelas principais empresas do setor, a Fieldguide aprimora a prática de serviços de auditoria e consultoria com inovações impulsionadas por IA que economizam tempo e melhoram as margens.

Descrição

• Design and build a unified evaluation platform that serves as the single source of truth for all of our agentic systems and audit workflows • Build observability systems that surface agent behavior, trace execution, and failure modes in production, and feedback loops that turn production failures into first-class evaluation cases • Own the evaluation infrastructure stack including integration with LangSmith and LangGraph. • Translate customer problems into concrete agent behaviors and workflows • Integrate and orchestrate LLMs, tools, retrieval systems, and logic into cohesive, reliable agent experiences • Build automated pipelines that evaluate new models against all critical workflows within hours of release • Design evaluation harnesses for our most complex Agentic systems and workflows • Implement comparison frameworks that measure effectiveness, consistency, latency, and cost across model versions • Design guardrails and monitoring systems that catch quality regressions before they reach customers • Use AI as core leverage in how you design, build, test, and iterate • Prototype quickly to resolve uncertainty, then harden systems for enterprise-grade reliability • Build evaluations, feedback mechanisms, and guardrails so agents improve over time • Work with SMEs and ML Engineers to create evaluation datasets by curating production traces. • Design prompts, retrieval pipelines, and agent orchestration systems that perform reliably at scale • Define and document evaluation standards, best practices, and processes for the engineering organization • Advocate for evaluation-driven development and make it easy for the team to write and run evals • Partner with product and ML engineers to integrate evaluation requirements into agent development from day one • Take full ownership of large product areas rather than executing on narrow tasks

🎯 Requisitos

• Multiple years of experience shipping production software in complex, real-world systems • Experience with TypeScript, React, Python, and Postgres • Built and deployed LLM-powered features serving production traffic • Implemented evaluation frameworks for model outputs and agent behaviors • Designed observability or tracing infrastructure for AI/ML systems • Worked with vector databases, embedding models, and RAG architectures • Experience with evaluation platforms (LangSmith, Langfuse, or similar) • Comfort operating in ambiguity and taking responsibility for outcomes • Deep empathy for professional-grade, mission-critical software (experience with audit and accounting workflows are not required)

🏖️ Benefícios

• Competitive compensation packages with meaningful ownership • Flexible PTO • 401k • Wellness benefits, including a bundle of free therapy sessions • Technology & Work from Home reimbursement • Flexible work schedules