Senior Software Engineer – AI-First Development

🕒 Junho 18

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Las Vegas Sands Corp.

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1990

💼 Consultoria

📦 Logística

✈️ Turismo

Consulting • Logistics • Travel

A Las Vegas Sands Corp. é líder global no desenvolvimento e operação de resorts integrados de classe mundial. Fundada em 1990, a empresa transformou a indústria de hospitalidade ao inaugurar o modelo de resort integrado baseado em convenção, exemplificado pelo The Venetian Resort em Las Vegas. Com propriedades significativas em Singapura e Macau, a Las Vegas Sands é a maior operadora de resorts integrados nos maiores mercados de jogos do mundo. Os resorts da empresa não apenas estimulam o turismo de negócios e lazer, mas também contribuem significativamente para a vitalidade econômica das comunidades anfitriãs. Comprometida com a sustentabilidade e o desenvolvimento comunitário, a Las Vegas Sands está ativamente envolvida em iniciativas de responsabilidade corporativa, focando na conservação ambiental, serviço comunitário e práticas de jogos responsáveis.

Descrição

• The primary responsibility of the Senior Software Engineer (AI-First Development) is to design, orchestrate, and validate software applications built through AI-driven development workflows. • This role operates within an AI-First Software Development Lifecycle (SDLC) where AI agents serve as the primary producers of code, configuration, and test artifacts. • The engineer provides architectural direction, context engineering, human-in-the-loop governance, and final accountability for all delivered software. • Combine deep software engineering fundamentals with the ability to think in systems, design effective agent workflows, and validate AI-generated outputs across security, correctness, performance, and compliance dimensions. • Design, build, and maintain AI agent workflows that produce application code, infrastructure configuration, test suites, and documentation. • Decompose complex application requirements into discrete tasks that AI agents can execute effectively. • Select and configure appropriate AI models, agent frameworks, and tooling for each workflow based on task complexity, risk level, and cost considerations. • Author and maintain the agent toolchain, including Skills (SKILL.md) for reusable domain knowledge, hooks for deterministic automation at defined workflow points, and project memory files (CLAUDE.md, AGENTS.md). • Review, test, and approve AI-generated code, ensuring it meets Sands coding standards, architectural guidelines, and security requirements before promotion to production. • Coordinate with development teams across global locations to ensure consistency in agent workflows and coding standards. • Evaluate emerging AI models, agent frameworks, and development tools to continuously improve workflow effectiveness and output quality.

🎯 Requisitos

• At least 21 years of age. • Proof of authorization to work in the United States. • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. • Must be able to obtain and maintain any certification or license, as required by law or policy. • 7+ years of professional software development experience, with demonstrated progression into senior or lead roles. • 1+ years of hands-on experience using AI-assisted development tools (such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar) as a core part of the daily development workflow. • Strong foundational knowledge across at least two major programming ecosystems (for example, .NET/C#, JavaScript/TypeScript, Python, Java, Go), with the ability to evaluate and validate AI-generated code in any language relevant to a given project. • Working knowledge of relational and non-relational databases, including data modeling, query optimization, and schema design. • Experience with cloud platforms (Azure preferred, AWS or GCP also acceptable), including deployment, configuration, and cost management. • Working knowledge of DevOps practices, CI/CD pipelines, and infrastructure-as-code concepts. • Experience with containerization (Docker) and container orchestration (Kubernetes or similar). • Demonstrated ability to conduct thorough code reviews, identify defects in AI-generated outputs, and provide constructive technical feedback. • Excellent written and verbal communication skills, with the ability to articulate technical decisions and trade-offs to both technical and non-technical stakeholders. • Strong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.

🏖️ Benefícios

• Health insurance • Flexible work arrangements • Professional development opportunities