Forward Deployed AI Engineer

Vaga não está no LinkedIn

🕒 Outubro 21

🗽 New York – Remoto

🗽 New York – Remote

💵 $135.000 - $155.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 0%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.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

KeyrusCloud

SiteLinkedInTodas as Vagas

11 - 50 funcionários

💼 Consultoria

🏢 Corporativo

☁️ SaaS

Consulting • Enterprise • SaaS

KeyrusCloud é uma empresa global de consultoria com a missão de habilitar um mundo mais orientado por dados. Com mais de 28 anos de experiência e presença em 20 países em 4 continentes, a KeyrusCloud oferece soluções que aproveitam tecnologias de ponta para impulsionar a transformação digital das empresas. A empresa foca em abordagens colaborativas e inovadoras para a resolução de problemas, enfatizando uma forte cultura corporativa e um compromisso com a responsabilidade social. A KeyrusCloud também é dedicada a fornecer qualidade e serviço em todos os seus projetos, promovendo um ambiente de trabalho acolhedor que encoraja o crescimento profissional e a exposição a novas tecnologias.

Descrição

• Lead technical discovery with clients to understand their systems, data, workflows, and integration requirements • Translate business needs and approved architectures into practical implementation plans • Develop production-ready solutions integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies • Collaborate with AI Engineers, Architects, and Data Engineers to resolve technical challenges and deliver integrated solutions • Own technical deployment and rollout within the agreed scope, ensuring reliable production performance • Work closely with client teams to troubleshoot issues, support adoption, and improve implemented solutions • Monitor performance, costs, and business outcomes while documenting reusable engineering practices • Turn successful implementations into reusable Keyrus assets, including integration patterns, deployment practices, technical documentation, and implementation guidance for future engagements

🎯 Requisitos

• 5+ years of professional experience in software engineering, cloud engineering, enterprise integration, or related technical delivery roles • Hands-on experience developing, integrating, and deploying production software or AI-enabled solutions • Experience building and maintaining backend services, APIs, and enterprise integrations • Experience working with cloud platforms, deployment processes, and production environments • Ability to translate business requirements into technical implementation plans • Strong client-facing consulting experience, including communicating technical decisions and working with business stakeholders • Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages • Experience with REST APIs, backend services, authentication, and enterprise integrations • Hands-on experience with AWS, Azure, or Google Cloud • Knowledge of Git, CI/CD, testing, containers, and production monitoring • Familiarity with LLM APIs, RAG, AI agents, and GenAI application integration • Understanding of application security, system reliability, and cloud deployment practices • Experience developing production GenAI applications or agentic workflows is nice to have • Familiarity with LangGraph, MCP, OpenAI, Anthropic, or similar technologies is nice to have • Experience with Kubernetes, Docker, or infrastructure as code is nice to have • Background in backend, full-stack, data, or cloud engineering is nice to have • Experience delivering solutions in regulated or complex enterprise environments is nice to have • Previous experience in consulting, professional services, or client-embedded engineering roles is nice to have

🏖️ Benefícios

• Health insurance for you and your family members • 401K plan • Monthly Wellness Allowance • 4 weeks of paid vacation • Language courses (French & English) • Access to continuing education (in-house, conferences, events, courses, certifications, etc.) • Regular social events, including happy hours and trivia nights

📊 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