AI Engineering Manager

🕒 Março 20

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Aspire Software

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

☁️ SaaS

🏢 Corporativo

🤝 B2B

SaaS • Enterprise • B2B

A Aspire Software está comprometida em estimular, aprimorar e expandir empresas ao investir em seus recursos, conhecimento e melhores práticas. A companhia foca em capacitar líderes empresariais e fomentar a inovação por meio de uma tomada de decisão descentralizada, visando criar um ambiente colaborativo e adaptável. A Aspire Software atende a diversos setores, oferecendo suporte em fusões e aquisições (M&A), expansão internacional e Business Intelligence (BI), sempre priorizando relacionamentos de longo prazo com os clientes e o desenvolvimento dos colaboradores.

Descrição

• Own product architecture, including AI/LLM-integrated components • Design scalable, secure, and maintainable systems • Lead decisions involving: • o LLM integration (OpenAI, Azure OpenAI, etc.) • o RAG architectures and vector databases • o AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex) • Ensure system reliability, observability, and cost efficiency • Establish AI governance and safe usage practices • Apply modern AI methodologies, including: • o Retrieval-Augmented Generation (RAG) • o Prompt engineering and evaluation • o AI output validation and guardrails • o Human-in-the-loop workflows • o Model monitoring and performance evaluation • Drive experimentation, A/B testing, and telemetry-based decision making • Lead and mentor developers and QA engineers • Raise AI literacy across the team • Establish AI-native coding and review standards • Balance speed, quality, and architectural integrity • Own predictable, high-quality releases • Ensure AI features are measurable, validated, and production-ready • Act as technical escalation point • Drive cross-team alignment with Product, Data, and DevOps • Leverage AI-assisted development tools to improve velocity • Optimize AI cost-performance tradeoffs • Embed automation into testing and CI/CD pipelines

🎯 Requisitos

• 7+ years software engineering experience, 2+ years in technical leadership • Hands-on experience building and deploying AI-enabled systems • Strong knowledge of: • - LLM integration and prompt design • - RAG architectures and vector search • - AI orchestration frameworks • - Cloud platforms (Azure, AWS, or GCP) • Experience designing scalable distributed systems • Preferred • - Experience in regulated industries • - AI governance and compliance knowledge • - Model lifecycle management and monitoring tools