04 sep
|
CaseWare
|
Colombia
What you'll be doing:
- 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-inthe-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.
What you'll bring:
- 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.
- 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.
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
- Document & Data Processing: AWS Textract, DynamoDB, S3
- AI Evaluation & Observability: LangFuse, LangSmith, LangChain, LangGraph
- AI-Assisted Development: GitHub Copilot, AWS Kiro
- 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 general 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.
📌 Artificial Intelligence Engineer (Colombia)
🏢 CaseWare
📍 Colombia