Caseware

Caseware

CaseWare International Inc. provides cutting-edge software solutions for accounting firms, corporations, and governments, enabling users worldwide to work smarter and transform insights into impact.

Internet Software & Services
251-1K
Founded 1988

Description

  • Design and implement scalable data ingestion and integration pipelines for structured, semi-structured, unstructured, and multi-modal data sources.
  • Build and scale retrieval infrastructure, including vector storage, embedding pipelines, hybrid search, and graph-based knowledge representations.
  • Develop and operate agent memory systems and AI signal pipelines for tracing, feedback, evaluation, and usage data.
  • Apply data quality, validation, monitoring, testing, governance, access control, lineage, and security practices in production pipelines.
  • Monitor, troubleshoot, and optimize AI data pipelines and retrieval workflows for reliability, performance, and cost.
  • Design and support evaluation workflows for AI systems, including offline testing, benchmarking, and continuous improvement.
  • Define reference architectures, data standards, guardrails, and best practices across AI, platform, and product teams.
  • Lead platform evolution by defining clear contracts between AI services and data systems to reduce coupling and improve developer experience.
  • Take ownership of complex, production-grade AI data workflows end-to-end and influence architectural direction through technical leadership and proof-of-concepts.
  • Collaborate closely with AI, platform, DevOps, and product teams to turn emerging AI patterns into durable platform capabilities.

Requirements

  • Strong software engineering fundamentals, including designing maintainable, testable systems and owning features end-to-end.
  • Production experience with distributed systems, including async workflows, failure modes, retries, and eventual consistency.
  • Hands-on experience building and operating data pipelines for AI systems, such as embeddings pipelines, retrieval workflows, or feedback data processing.
  • Experience with AI-related data infrastructure, including vector databases, search systems, or graph-based storage.
  • Experience with retrieval systems (RAG), embedding pipelines, or hybrid search (vector + keyword).
  • Experience with agent frameworks, agent memory systems, or orchestration of tool-using AI systems.
  • Experience operating production systems, including monitoring, incident response, and continuous improvement.
  • Cloud experience on AWS building production systems, including storage, messaging, and orchestration.
  • Experience with infrastructure as code; CDK is preferred, with CloudFormation or Terraform also acceptable.
  • Strong collaboration and communication skills, including the ability to mentor and raise engineering maturity through reviews and design discussions.
  • Strong English communication and collaboration skills.
  • Fully remote position based in Colombia.
  • Tech stack includes TypeScript, NestJS, Python, AWS EKS, AWS Lambda, AWS Bedrock, AWS AgentCore, AWS OpenSearch Serverless, AWS S3 Vectors, AWS Knowledge Bases, AWS Textract, DynamoDB, S3, LangFuse, LangSmith, GitHub Copilot, GitHub Actions, Nx, Jira, Confluence, Microsoft Teams, and Outlook.

Benefits

  • Contrato a término indefinido with all legal benefits.
  • Competitive compensation above the market average.
  • Prepaid medicine, life insurance, and funeral assistance.
  • Internet allowance and home office stipend.
  • 100% remote work environment with excellent work-life balance.
  • Budget for training and mentorship from highly experienced professionals.
  • 5 personal time off days per year, plus sick leave top-up to 100% of salary from day 3 to 90.
  • Recognition awards with additional paid time off and vacation upgrades starting at 5 years of service.

Interested in this position?

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