AI Engineer

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🕒 Maio 29

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Logo of Continued

Continued

51 - 200 funcionários

Fundada em 2003

📚 Educação

☁️ SaaS

💰 Grant em 2018-12

Education • SaaS

A Continued oferece soluções de educação continuada online, sob medida para diversas profissões, incluindo Treinamento Atlético, Audiologia, Aconselhamento, Educação Infantil, Massoterapia, Terapia Ocupacional, Fisioterapia, Psicologia, Terapia Respiratória, Serviço Social e Fonoaudiologia. A plataforma oferece acesso conveniente e acessível a uma ampla variedade de cursos, permitindo que indivíduos e organizações mantenham suas habilidades e conhecimentos atualizados. As assinaturas oferecem acesso ilimitado a uma biblioteca de cursos, permitindo que os profissionais adquiram os CEUs, créditos ou horas necessárias no seu próprio ritmo. A Continued é confiada por milhares de profissionais que apreciam seu conteúdo de alta qualidade, liderado por especialistas, e a conveniência de aprender a qualquer momento e em qualquer lugar.

Descrição

• Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation. • Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment. • Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer. • Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search. • Ensure the high availability, performance, and security of AI platform services. • Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation. • Translate complex AI concepts for non-technical stakeholders and keep business goals front and center. • Keep pace with rapidly evolving AI models, frameworks, and research—and bring that knowledge back to the team.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Data Science, or a related field—or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice. • Minimum of 3–5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems. • Proven experience moving AI models out of notebooks and into live, scalable, monitored production systems. • Fluent in the full generative AI stack—LLMs, embeddings, vector databases, semantic search—and know how to apply them to real business problems. • Strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on. • Write production-ready code. OOP, clean architecture, testable systems—these aren’t buzzwords to you, they’re defaults. • Experience with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom. • Ability to connect technical decisions to business outcomes. • Comfortable in a stakeholder meeting as you are in a code review. • Believe in responsible, transparent AI practices and bring that lens to everything you build. • Thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting. • Preferred: Full-Stack Fluency in React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends—and you’re comfortable managing data with Postgres or Redis. • Preferable: Solid grounding in statistics, probability, and experimental design.

🏖️ Benefícios

• Work from home with a company-provided MacBook and internet stipend. • 21 days of flexible PTO + your birthday + holidays (with flexible substitution). • Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more. • 401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.

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