Senior AI Software Engineer
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Job Description
Senior AI Software Engineer architecting LLM platforms, agentic workflows, and governance systems. Building scalable cloud infrastructure for Caseware’s global accounting and audit software.
Responsibilities:
- Define and evolve the technical architecture for Caseware’s AI platform
- Establish architectural standards, contracts, and design principles for scalable, secure, reusable, and trustworthy AI capabilities
- Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic workflows, and AI-enabled services
- Develop multi-agent systems, agent execution runtimes, workflow orchestration, memory management, and human-in-the-loop AI capabilities
- Implement evaluation, governance, auditability, and traceability frameworks
- Translate advances in AI into practical platform capabilities solving 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 informing platform strategy and future investments
- Balance delivery speed, quality, maintainability, and long-term platform health
- Drive reliability, observability, monitoring, alerting, and incident response practices
- Ensure systems are resilient, scalable, cost-effective, and operationally efficient in production
- Partner with Product, QA, Security, Domain SMEs, and Engineering teams
- Act as a trusted technical leader through collaboration, influence, and shared ownership
- Mentor engineers and raise overall engineering maturity
Requirements:
- 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
- Experience operating systems in regulated or compliance-heavy domains (nice to have)
- Familiarity with accounting, auditing, or financial workflows (nice to have)
Benefits:
- Flexible work options and remote opportunities
- Generous time-off policies
- Comprehensive benefits
- Performance bonuses
- Career growth opportunities
- International projects and collaboration with a diverse, global team
- Indefinite-term contract with all legal benefits
- Prepaid medicine
- Life insurance and funeral assistance
- Internet allowance
- Home office stipend
- Competitive compensation above the market average
- 100% remote work environment
- Work-life balance
- Mentorship by highly experienced professionals
- Training budget
- 5 personal time-off days per year
- Employer-paid sick leave top-up to 100% of salary from Day 3 to 90
- Recognition Award with additional paid time off
- Vacation upgrade starting at 5 years of service
- AI-first engineering environment
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