Artificial Intelligence Engineer

Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!
📍 Location: This is a fully remote position located in Colombia.
Contact
Maira Russo - Senior Talent Acquisition Partner
What you'll be doing:
• Define and evolve the technical architecture for Caseware’s AI platform, following
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-inthe-loop AI capabilities.
• Design and implement evaluation, governance, auditability, and traceability
frameworks that ensure AI systems are measurable, explainable, compliant, and
continuously improving.
• Evaluate emerging AI technologies, models, frameworks, and cloud capabilities.
• 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 software engineer, helping teams succeed through collaboration,
influence, and shared ownership.
What you’ll bring:
• 5+ 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.
• 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 written and verbal communication skills are important.
• Comfortable operating in fast-moving environments with ambiguity and evolving
requirements.
• Strong English language communication and collaboration skills.
Nice to Have
• Experience operating systems in regulated or compliance-heavy domains.
• Familiarity with accounting, auditing, or financial workflows.
Tech stack you’ll be working with:
• Backend & Platform: TypeScript, NestJS, Python
• Cloud & Infrastructure: AWS EKS, AWS Lambda, AWS Bedrock, AWS AgentCore
• Search & Retrieval: AWS OpenSearch Serverless, AWS S3 Vectors
• Document & Data Processing: AWS Textract, DynamoDB, S3
• AI Evaluation & Observability: LangFuse, LangSmith (or equivalent)
• AI-Assisted Development: Claude Code, Devin, Github Copilot
• Developer Tooling: GitHub, GitHub Actions, Nx Monorepo
• Collaboration: Jira, Confluence, Microsoft Teams, Outlook
Perks & 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 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.

Work arrangement
Yes