Senior AI Software Engineer

📍 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,

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 benefitsPrepaid MedicineLife insurance and funeral assistanceInternet allowanceHome office stipendCompetitive compensation — above the market average100% remote work environment and an excellent work-life balanceOpportunity to work for a growing global SaaS leader companyA culture that promotes independence, innovation, trust, and accountabilityOpen space to be creative, innovative and strategize for the futureMentorship by highly experienced professional Budget for training, we want you to grow5 Personal Time Off days per yearSick 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 serviceUpgrade vacation starting at 5 years of serviceAI-first environment: Be part of an AI-first engineering organization that embraces modern tools, automation, and AI-driven ways of working.