
201 - 500 employees
💸 Finance
🏢 Enterprise
☁️ SaaS
Finance • Enterprise • SaaS
Caseware is a global leader in providing software solutions for accounting, auditing, and financial reporting. Their products, such as Caseware Cloud and Caseware Working Papers, are designed to modernize accounting practices, streamline audits, and provide robust financial reporting tools for accounting firms, corporations, and government entities. Caseware is renowned for integrating advanced technologies, including AI-driven tools, to enhance efficiency and insight for its users. Their offerings are localized to meet regional standards and cater to diverse sectors, including public and private organizations. With a focus on transformation through technology, Caseware supports over 500,000 accounting professionals in more than 130 countries.
🕒 August 28
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201 - 500 employees
💸 Finance
🏢 Enterprise
☁️ SaaS
Finance • Enterprise • SaaS
Caseware is a global leader in providing software solutions for accounting, auditing, and financial reporting. Their products, such as Caseware Cloud and Caseware Working Papers, are designed to modernize accounting practices, streamline audits, and provide robust financial reporting tools for accounting firms, corporations, and government entities. Caseware is renowned for integrating advanced technologies, including AI-driven tools, to enhance efficiency and insight for its users. Their offerings are localized to meet regional standards and cater to diverse sectors, including public and private organizations. With a focus on transformation through technology, Caseware supports over 500,000 accounting professionals in more than 130 countries.
• Operate as a technical leader within the team and broader engineering organization • Shape architecture and design and raise engineering quality • Mentor developers and partner with cross-functional stakeholders • Maintain end-to-end accountability for the AI platform in production, including architecture, delivery, operations, cost, quality, and on-call • Design, build, and operate agentic AI systems, including LLM services, retrieval pipelines, multi-agent orchestration, execution runtimes, and human-in-the-loop capabilities • Build and operate memory infrastructure for agent systems • Own LLMOps harnesses, pipelines, and infrastructure, including dynamic model selection • Build automated evaluation infrastructure for offline and online metrics, drift, and regression alerting • Evaluate and integrate third-party LLMOps and evaluation platforms • Build technical controls, telemetry, and guardrails for compliance frameworks • Maintain agent definition management APIs and tool registry definitions • Lead engineering proof-of-concept builds • Create architecture, prototypes, and design proposals • Influence technical direction through architecture reviews, RFCs, and design discussions • Contribute to product build, CI/CD pipelines, SDLC improvements, reliability, observability, monitoring, incident response, and technical documentation • Represent the team in technical discussions with internal and external stakeholders • Evaluate emerging technologies, frameworks, and cloud capabilities • Use and promote AI-assisted development tools and establish safe team practices
• 2+ years building and operating production AI systems • Experience with agent frameworks, agent memory systems, or orchestration of tool-using AI systems • Production AWS experience, including Infrastructure as Code (CDK, CloudFormation, or Terraform) • Degree in Computer Science, Software Engineering, or equivalent practical experience • 8+ years of professional software development experience with demonstrated impact beyond a single team • Experience designing and operating distributed, cloud-native, SaaS/multi-tenant platforms at scale • Strong software fundamentals: OOP, design patterns, SOLID principles, and code quality advocacy • Experience with agentic-AI software development practices • Experience designing and consuming HTTP APIs (REST, GraphQL, or similar) • Experience mentoring developers and influencing architectural decisions across teams • Strong written and verbal communication skills • Strong initiative to improve processes, tools, methodologies, and product quality • Nice-to-have: AI guardrails, governance controls, safety mechanisms, ISO 42001, AIUC-1, NIST AI RMF, third-party ML/LLMOps platforms, RAG, embedding pipelines, hybrid search, LLMOps, regulated domains, accounting/auditing/financial workflows • Familiarity with New Relic, CloudWatch, Prometheus, OpenTelemetry, AWS, EKS, Lambda, S3, DynamoDB, IAM, VPC, Docker, Kubernetes, Python, Bash, TypeScript, GitHub, GitHub Actions, Jira, Confluence, Microsoft Teams, and Slack
• 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 • 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 • 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 • AI-first environment: Be part of an AI-first engineering organization that embraces modern tools, automation, and AI-driven ways of working. • Flexible work options, remote opportunities, and generous time-off policies • Performance bonuses • Career growth opportunities • Recognition programs • International projects and collaboration with a diverse, global team
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