Senior AI Software Engineer

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Define and enhance the technical architecture for Caseware’s AI platform, establishing architectural standards, contracts, and design principles that facilitate scalable, secure, reusable, and reliable AI capabilities across various teams.

• Design, develop, and manage AI systems powered by large language models (LLMs), retrieval pipelines, agentic workflows, and AI-enabled services, including multi-agent systems, agent execution runtimes, workflow orchestration, memory management, and human-in-the-loop AI capabilities.

• Create and implement evaluation, governance, auditability, and traceability frameworks that ensure AI systems are measurable, explainable, compliant, and continuously improving.

• Convert advancements in AI into practical, maintainable platform capabilities that address real customer issues.

• Shape technical direction through architecture reviews, requests for comments (RFCs), design discussions, and collaborative efforts.

• Assess emerging AI technologies, models, frameworks, and cloud capabilities.

• Lead proof-of-concept initiatives that inform platform strategy and future investments.

• Balance delivery speed, quality, maintainability, and long-term platform sustainability when making technical decisions.

• Promote 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 settings.

• Collaborate closely with Product, QA, Security, Domain Subject Matter Experts (SMEs), and Engineering teams to deliver business value.

• Serve as a trusted technical leader, aiding teams in achieving success through collaboration, influence, and shared ownership.

• Mentor engineers across teams and contribute to enhancing overall engineering maturity.

⛳️ Requirements

• 8+ years of professional software engineering experience, demonstrating impact beyond a single team.

• 2+ years of experience in building and operating production AI systems.

• Proven track record in designing distributed, SaaS, cloud-native, multi-tenant platforms at scale.

• Experience in implementing AI guardrails, governance controls, and safety mechanisms.

• Strong understanding of tradeoffs in AI systems, including latency, cost, accuracy, reliability, and scalability.

• Extensive experience in building and operating production systems on AWS.

• Familiarity with Infrastructure as Code using CDK, CloudFormation, or Terraform.

• Demonstrated experience in mentoring engineers and influencing architectural decisions across teams.

• Excellent communication and collaboration skills in English.

• Ability to thrive in fast-paced environments characterized by ambiguity and changing requirements.

🏝️ Benefits

• "Contrato a termino Indefinido" with all legal benefits.

• Prepaid Medical Insurance.

• 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 rapidly growing global SaaS leader.

• A culture that encourages independence, innovation, trust, and accountability.

• Open space for creativity, innovation, and future strategizing.

• Mentorship from highly experienced professionals.

• Budget for training, as we want you to grow.

• 5 Personal Time Off days per year.

• Sick Leave Top-up to a total of 100% of salary paid by the employer from Day 3 to Day 90.

• Recognition Award with additional paid time off in acknowledgment of the corresponding year of service.

• Upgraded vacation starting at 5 years of service.

• AI-first environment: Join an AI-first engineering organization that embraces modern tools, automation, and AI-driven methodologies.