Lead AI Engineer

Vaga não está no LinkedIn

🕒 Março 27

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 53%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Stride

51 - 200 funcionários

💼 Consultoria

Consulting

Inovadora. Colaborativa. Transparente. A Stride é seu parceiro estratégico na condução da transformação tecnológica. Com nossa equipe de engenheiros experientes, designers e gerentes de produto, vamos além dos limites tradicionais do desenvolvimento e entrega de software para alcançar seus objetivos e aprimorar sua equipe. Como pioneiros na utilização de IA generativa, estamos aproveitando a inteligência empresarial nova e emergente e os ganhos de produtividade para gerar valor e resultados de negócios mais rápido do que nunca. Gostaríamos de fazer parcerias com você para moldar o futuro juntos.

Descrição

• Design, build, test, and maintain modern software applications across backend and frontend systems. • Develop scalable backend services, APIs, and integrations that support high-performance applications. • Build modern frontend experiences using frameworks such as React, NextJS, or similar technologies. • Write clean, maintainable, and well-tested code following modern engineering practices. • Work across multiple programming languages and ecosystems depending on project needs. • Participate actively in architecture discussions, code reviews, and technical design sessions. • Leverage modern development tooling, including AI-assisted coding and engineering workflows, to improve productivity and quality. • Integrate AI-enabled capabilities into development workflows when appropriate, such as adoption of agent tools or automated documentation. • Experiment with emerging technologies to improve the software development lifecycle. • Help teams evaluate where AI capabilities can enhance software systems or development workflows. • Partner closely with Product Managers and Product Owners to refine backlogs and clarify requirements. • Break down complex work into well-scoped, estimable user stories and technical tasks. • Provide reliable estimates and contribute to sprint and release planning. • Inspect and adapt through retrospectives, continuously improving team delivery and engineering practices. • Serve as a technical leader on delivery teams, helping guide architecture and implementation decisions. • Collaborate closely with Product Managers and Designers to translate requirements into technical solutions. • Help estimate work, identify risks, and contribute to delivery planning and execution. • Support technical discovery and feasibility assessments during early phases of engagements. • Work directly with client stakeholders to understand technical requirements and constraints. • Participate in technical discussions, demos, and solution walkthroughs. • Communicate clearly about tradeoffs, risks, and implementation approaches. • Promote engineering standards around quality, testing, security, and performance. • Leverage modern tooling, automation, and AI-assisted development to improve productivity and quality. • Contribute to internal engineering patterns, documentation, and shared components. • Stay current with modern full-stack and cloud-native best practices.

🎯 Requisitos

• 6+ years of professional experience as a Full-Stack, Backend, or Software Engineer. • Strong experience building backend services and APIs using languages such as Java, Python, Ruby, or similar technologies. • Experience developing modern frontend applications using React and/or NextJS. • Experience working with relational and NoSQL databases. • Strong understanding of RESTful APIs, distributed systems, and scalable architectures. • Strong understanding and use of Test Driven Development (TDD) and Pair Programming. • Comfortable working in Agile delivery environments (Scrum, Kanban). • Excellent communication skills and ability to work in client-facing roles. • Familiarity with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration tools. • Familiarity with AI-assisted development tools and modern developer workflows. • Exposure to integrating AI capabilities or LLM APIs into software applications.

🏖️ Benefícios

• Health insurance • Flexible work hours • Professional development opportunities

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