Forward Deployed AI Engineer

🕒 Agosto 18

🇨🇴 Colômbia – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 15%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Keyrus

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1996

🤝 B2B

💼 Consultoria

B2B • Data Analytics • Consulting

Criador de valor na era dos Dados e Digital A Keyrus ajuda empresas a aproveitar o paradigma dos Dados e Digital para aprimorar seu desempenho, auxiliá-las em sua transformação e gerar novos motores para crescimento e competitividade.

Descrição

• Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery • Locate, qualify, and secure access to data required for each use case, working directly with the Data Engineer • Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows • Prototype, test, deploy, monitor, and improve solutions in real client environments using user and domain-expert feedback • Collaborate with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers • Balance speed, quality, cost, security, and maintainability through clear technical and delivery trade-offs • Define success criteria covering adoption, performance, reliability, risk, cost, and measurable business value • Ensure solutions are documented, governed, and transferable for client operation • Turn successful delivery into reusable patterns, accelerators, and building blocks for future engagements • Work with global customers on innovative Digital & Data projects

🎯 Requisitos

• Typically 5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting • Hands-on experience delivering AI, GenAI, or software solutions into production • Experience working directly with clients or in complex stakeholder environments • Evidence of turning complex use cases into adopted, measurable solutions • A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience • Strong Python development skills • API integration experience and modern software-engineering practices • Hands-on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection • Experience with RAG, embeddings, vector search, AI agents, and agentic workflows • Familiarity with LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools • Experience integrating AI into enterprise systems, APIs, and business workflows • Experience with at least one major cloud platform: Azure, AWS, or GCP • Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation • Understanding of MLOps/LLMOps, security, data privacy, governance, and responsible AI principles

🏖️ Benefícios

• 100% remote work • International and multicultural projects • Access to training programs and continuous professional development • Professional growth opportunities and internal mobility • A culture built on collaboration, innovation, and continuous learning • Diversity and multicultural work environment