Senior Engineer – Applied AI, ML

🕒 Novembro 5, 2025

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Qvest.US

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2013

📱 Mídia

🏢 Corporativo

Media • Consulting • Enterprise

A Qvest. US é líder global em serviços de consultoria em tecnologia e negócios, especialmente para as indústrias de mídia, entretenimento, bens de consumo embalados e varejo. Com presença em 20 localizações ao redor do mundo, a Qvest (pronuncia-se "kwest") oferece serviços premium, aconselhando estrategicamente e implementando soluções de negócios e tecnologia de ponta. A empresa se concentra em revolucionar redações, aprimorar operações para empresas como a JetBlue e automatizar fluxos de trabalho criativos. A Qvest capacita equipes para alavancar produtos direct-to-consumer, melhorar a experiência do cliente e utilizar dados e análises de forma eficaz para maximizar o ROI. Especializada em áreas como segurança de conteúdo, gestão de IP, transformação em broadcast e Salesforce, a Qvest é dedicada à inovação e excelência global.

Descrição

• Provide leadership within software teams; as a mentor, team-lead, trusted client-facing technologist and/or as a hands-on contributor • Impact all phases of our projects and all phases of the SDLC • Leverage your existing depth of knowledge to maximize your impact • Grow into new and/or adjacent technologies and domains to broaden your impact • Present solutions to clients as well as Qvest team members • Shape the kind of technologies that we are going to be using

🎯 Requisitos

• 4-6 years in software development, including working in teams • Experience with agile methodologies such as Scrum, Kanban or XP • Experience in ML / Applied AI tools and patterns including LLM, MLOps, RAG • Experience using different models (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA etc..) and understanding applicability to purpose / use case balancing cost vs. functionality • Experience developing copilots • Experience developing RAG applications • Experience with and around discussing enterprise deployments, knowing the landscape of enterprises, (their API’s, systems etc..) and the ability to communicate with client leadership in this area • Experience with Vector Database and Embeddings • Experience with Graph Databases • Definition, utilization and implementation of CI/CD pipelines • Familiarity with SOA, Microservices, or similar architectural patterns • Experience constructing systems by utilizing a separation of concerns (good OOP, FP design, etc) • Experience with enterprise application integration, including defining the integration architecture, integration data flows and interfaces, integration mechanisms (e.g., async vs. synchronous), middleware, etc. • Experience with typical AuthN/AuthZ methods and products • Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state • Experience balancing feature development vs. technical debt accumulation in order to deliver business needs while also maintaining quality over time.

🏖️ Benefícios

• Medical, dental & vision • 401k matching • Flexible vacation • Professional growth paths • Sponsored training