
201 - 500 funcionários
Fundada em 1985
☁️ SaaS
🏛️ Governo
🤝 B2B
💰 Private equity em 2024-07
SaaS • Government • B2B
A Brandt Information Services é uma empresa de tecnologia e serviços que desenvolve plataformas digitais e suporte operacional para agências estaduais e organizações que gerenciam recursos ao ar livre. Eles fornecem software e serviços para licenciamento, registros (incluindo títulos de embarcações e veículos), gestão de reservas e locações, comercialização e e-commerce, CRM e automação de marketing, suporte a centros de contato, atendimento (impressão e envio), equipamentos/suporte, gerenciamento de projetos e alocação de TI. A Brandt foca em permitir que as agências simplifiquem fluxos de trabalho regulatórios, otimize o engajamento do cliente, gerencie transações de alto volume e melhore o acesso a parques e espaços ao ar livre.
🕒 Outubro 5
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $130.000 - $150.000 / ano
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
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201 - 500 funcionários
Fundada em 1985
☁️ SaaS
🏛️ Governo
🤝 B2B
💰 Private equity em 2024-07
SaaS • Government • B2B
A Brandt Information Services é uma empresa de tecnologia e serviços que desenvolve plataformas digitais e suporte operacional para agências estaduais e organizações que gerenciam recursos ao ar livre. Eles fornecem software e serviços para licenciamento, registros (incluindo títulos de embarcações e veículos), gestão de reservas e locações, comercialização e e-commerce, CRM e automação de marketing, suporte a centros de contato, atendimento (impressão e envio), equipamentos/suporte, gerenciamento de projetos e alocação de TI. A Brandt foca em permitir que as agências simplifiquem fluxos de trabalho regulatórios, otimize o engajamento do cliente, gerencie transações de alto volume e melhore o acesso a parques e espaços ao ar livre.
• Design, develop, and deliver complex technical solutions, including AI-enabled and agentic systems, meeting functional, performance, and security requirements • Build production-grade agents and AI-powered workflows involving tool use, orchestration, retrieval, and integration with systems of record • Translate loosely defined business and product requirements into technical plans and execute them • Write maintainable, testable code and own components from design through production • Use AI coding assistants and agentic coding tools daily and improve team AI practices • Build evaluation, testing, and observability for shipped AI behavior • Apply AI across discovery, requirements, build, test, release, and support, measuring impact on speed and quality • Build safe interfaces, adapters, and guardrails for agents working with legacy systems • Participate in code and design reviews • Collaborate with product, architecture, QA, and DevOps on end-to-end delivery quality and CI/CD discipline • Identify technical and AI-specific risks, including security, privacy, cost, and reliability • Evaluate emerging models, tools, and techniques and recommend appropriate solutions • Work across Licensing, Registrations, Reservations, and emerging product domains as priorities shift
• Must be US Citizen or Green Card holder • 7+ years of hands-on software engineering experience, including ownership of significant components or features from design through production • Current highly agentic working style, with AI coding agents central to development and ability to verify their output • Experience building agents, automations, or tooling such as custom agent workflows, MCP servers, or scripts chaining models and tools; side projects and internal tools count • Working knowledge of tool use, orchestration, context management, and structured outputs • Habit of checking AI output through tests, review, or lightweight evaluations • Awareness of AI security and data-handling risks, including prompt injection, data leakage, and agent access control • Strong foundation in at least one modern programming language and ability to learn others quickly • Experience with RESTful APIs, service-oriented or microservice architectures, and at least one major cloud platform such as Azure, AWS, or GCP • Experience with relational databases and data modeling • Experience with DevOps practices and CI/CD tooling, including automated build, test, and release pipelines • Experience working in or integrating with legacy and long-lived systems • No specific industry background is required • Nice to have: LLM-powered product features, retrieval-augmented generation, evaluations, production AI monitoring, and vector or search stores • Nice to have: Docker, Kubernetes, MCP or similar standards, modern front-end framework, open-source contributions, or technical writing
• Health insurance, with some plans fully covered for the employee (family members can be added at a discounted rate) • Vision insurance fully covered for the employee (family members can be added at a discounted rate) • Dental insurance available for purchase • Flexible/open paid time off (PTO) policy (available after 30 days of continuous service) • Nine (9) paid holidays • 401(k) plan with matching company contributions • Annual year-end performance bonus (3.5% target) • Up to 8 weeks of paid parental leave • Life insurance fully covered by the company • Long-term disability insurance fully covered by the company • Free Udemy account for ongoing professional development and learning • In-house AI trainings provided by notable system thinkers within the organization
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