Senior AI Software Engineer

🕒 Julho 22

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Caseware

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💸 Finanças

🏢 Corporativo

☁️ SaaS

Finance • Enterprise • SaaS

A Caseware é líder global no fornecimento de soluções de software para contabilidade, auditoria e relatórios financeiros. Seus produtos, como Caseware Cloud e Caseware Working Papers, são projetados para modernizar práticas contábeis, simplificar auditorias e oferecer ferramentas robustas de relatórios financeiros para empresas de contabilidade, corporações e entidades governamentais. A Caseware é renomada por integrar tecnologias avançadas, incluindo ferramentas baseadas em IA, para aumentar a eficiência e proporcionar insights a seus usuários. Suas ofertas são localizadas para atender aos padrões regionais e abrangem diversos setores, incluindo organizações públicas e privadas. Com foco na transformação por meio da tecnologia, a Caseware apoia mais de 500. 000 profissionais de contabilidade em mais de 130 países.

Descrição

• Define and evolve the technical architecture for Caseware’s AI platform, establishing architectural standards, contracts, and design principles that enable scalable, secure, reusable, and trustworthy AI capabilities across multiple teams. • Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic workflows, and AI-enabled services, including multi-agent systems, agent execution runtimes, workflow orchestration, memory management, and human-in-the-loop AI capabilities. • Design and implement evaluation, governance, auditability, and traceability frameworks that ensure AI systems are measurable, explainable, compliant, and continuously improving. • Translate advances in AI into practical, maintainable platform capabilities that solve real customer problems. • Influence technical direction through architecture reviews, RFCs, design discussions, and hands-on collaboration. • Evaluate emerging AI technologies, models, frameworks, and cloud capabilities. • Lead proof-of-concepts that inform platform strategy and future investments. • Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions. • Drive reliability, observability, monitoring, alerting, and incident response practices across AI systems and platforms. • Ensure systems are resilient, scalable, cost-effective, and operationally efficient in production environments. • Partner closely with Product, QA, Security, Domain SMEs, and Engineering teams to deliver business value. • Act as a trusted technical leader, helping teams succeed through collaboration, influence, and shared ownership. • Mentor engineers across teams and contribute to raising overall engineering maturity.

🎯 Requisitos

• 8+ years of professional software engineering experience, with demonstrated impact beyond a single team • 2+ years building and operating production AI systems. • Proven experience designing distributed, SaaS, cloud-native, multi-tenant platforms at scale. • Proven experience designing distributed, SaaS, cloud-native, multi-tenant platforms at scale. • Experience implementing AI guardrails, governance controls, and safety mechanisms. • Strong understanding of AI system tradeoffs including latency, cost, accuracy, reliability, and scalability. • Extensive experience building and operating production systems on AWS. • Experience with Infrastructure as Code using CDK, CloudFormation, or Terraform. • Experience mentoring engineers and influencing architectural decisions across teams. • Strong English language communication and collaboration skills. • Comfortable operating in fast-moving environments with ambiguity and evolving requirements.

🏖️ Benefícios

• ¨Contrato a termino Indefinido¨ with all the legal benefits • Prepaid Medicine • Life insurance and funeral assistance • Internet allowance • Home office stipend • Competitive compensation — above the market average • 100% remote work environment and an excellent work-life balance • Opportunity to work for a growing global SaaS leader company • A culture that promotes independence, innovation, trust, and accountability • Open space to be creative, innovative and strategize for the future • Mentorship by highly experienced professional • Budget for training, we want you to grow • 5 Personal Time Off days per year • Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90. • Recognition Award, additional paid time off in recognition of the corresponding year of service • Upgrade vacation starting at 5 years of service • AI-first environment: Be part of an AI-first engineering organization that embraces modern tools, automation, and AI-driven ways of working.