[Hiring] Senior AI Software Engineer III @Caseware

Role Description

• 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.

Qualifications

• 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.
• 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.

Requirements

• Experience operating systems in regulated or compliance-heavy domains (Nice to Have).
• Familiarity with accounting, auditing, or financial workflows (Nice to Have).

Benefits

• 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 professionals.
• 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.