Gen AI Engineer

🕒 5 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $90.000 - $130.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Accellor

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

🏥 Saúde

🏨 Hospitalidade

Consulting • Healthcare • Hospitality

A Accellor é uma empresa que oferece soluções impulsionadas por IA em vários setores, focando em melhorar a eficiência e o engajamento através de aplicações avançadas e estratégias de dados. Seus serviços incluem o aproveitamento da inteligência artificial para aplicativos corporativos, engenharia de produtos e serviços em nuvem para transformar indústrias como saúde, manufatura, serviços financeiros, imobiliário, varejo, viagens e hospitalidade. A Accellor faz parceria com líderes tecnológicos como Salesforce e Microsoft Dynamics 365 para fornecer aplicativos empresariais personalizados e inteligentes. Comprometida com práticas de IA responsável, a Accellor ajuda organizações a aproveitarem o potencial de dados e IA para impulsionar decisões estratégicas, automatizar operações e proporcionar experiências superiores.

Descrição

• Develop features, resolve defects, refactor applications, and create automated tests using AI-assisted development tools • Use Cursor and other coding environments for repository exploration, implementation, debugging, testing, and code review • Translate product requirements into engineering tasks, technical approaches, and acceptance criteria • Own code quality and delivery readiness, including changes produced by AI models or agents • Collaborate with product, engineering, and quality teams to deliver reliable software releases • Design and maintain prompts, repository instructions, context strategies, and reusable workflows • Establish repeatable evaluations for correctness, consistency, requirement coverage, and human intervention needs • Build coordinated groups of coding agents for planning, implementation, testing, review, and documentation • Design task delegation, handover, takeover, and recovery workflows • Manage parallel execution, task dependencies, isolated workspaces, and integration conflicts • Define tool access, execution boundaries, and human review checkpoints • Select models and tools based on task requirements, quality, latency, and cost • Optimize context size, token consumption, model routing, retries, and agent execution overhead • Measure development throughput, delivery time, review effort, and AI expenditure • Report weekly and monthly delivery trends, including pull requests raised and merged • Share validated practices and reusable tools with the wider engineering team

🎯 Requisitos

• 0–4 years of relevant experience in software engineering, AI engineering, or applied AI development; academic, personal, and open-source projects will also be considered • Proficiency in at least one programming language, such as Python, TypeScript/JavaScript, Java, Go, or C# • Hands-on experience applying frontier models, including OpenAI models or Anthropic Claude, to software development • Practical experience with Cursor or comparable AI coding environments • Strong prompt engineering skills, including task decomposition, context preparation, structured outputs, and iterative evaluation • Working knowledge of Git, pull requests, debugging, automated testing, APIs, and CI/CD • Ability to understand existing codebases and independently assess the correctness of AI-generated code • Clear communication, collaborative working habits, and ownership of engineering outcomes • Experience developing workflows with multiple coding agents, including delegation, handover, and integration (preferred) • Familiarity with model APIs, tool calling, Model Context Protocol (MCP), and agent orchestration frameworks (preferred) • Experience evaluating prompts and models using defined datasets, acceptance criteria, and automated checks (preferred) • Experience monitoring AI usage, engineering productivity, and cost efficiency (preferred) • Exposure to cloud platforms, containers, deployment automation, and application observability (preferred) • Portfolio of working software demonstrating effective use of AI tools, supported by tests and technical documentation (preferred)

🏖️ Benefícios

• Flexible and discretionary time off • Healthcare coverage for you and your loved ones • Retirement savings plan • Flexible spending accounts • Health savings accounts • Life and AD&D insurance • Opportunities for professional development • Annual bonus may be available

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