As part of our continued evolution of Caseware Cloud, we are building a reusable, enterprise-grade agentic AI platform that enables product teams to safely, consistently, and efficiently deliver AI-powered capabilities across our ecosystem.
We are looking for a Staff Software Developer – AI Platform to help shape the architecture, standards, and technical direction of this platform. This is a senior individual contributor role for an engineer who combines strong hands-on skills with the ability to influence across teams, reduce ambiguity, and scale solutions beyond a single codebase.
In this role, you will partner closely with Engineering Managers, Product, QA, Security, and Data teams to ensure the AI Platform evolves in a durable, observable, and secure manner.
📍 Location: This is a fully remote position located in Colombia.
Contact
Maira Russo - Senior Talent Acquisition Partner
What you will be doing
Define and evolve the technical architecture of Caseware’s agentic AI platform, ensuring it supports safe, scalable, and reusable AI capabilities
Design and build core platform components and abstractions, including agent execution models, RAG pipelines, grounding connectors, orchestration patterns, and reusable runtime primitives
Act as a technical leader across teams, influencing architectural decisions through design reviews, RFCs, and hands-on collaboration
Partner with QA, domain SMEs, and product teams to enable robust observability, reliability, and quality of LLM-based systems through platform-level instrumentation and monitoring
Translate emerging AI and cloud technologies into practical platform capabilities, leading proof-of-concepts that inform roadmap and architectural decisions
Establish and promote platform standards and best practices to improve consistency, security, and maintainability across AI-powered systems
Drive operational excellence by identifying systemic risks and eliminating root causes that impact reliability, performance, or cost
Partner with DevOps, DevSuccess, and Security teams to evolve CI/CD pipelines, deployment strategies, and production safeguards
Mentor senior and junior engineers through code reviews, design discussions, and technical guidance
Participate in production support as a senior escalation point, leading root cause analysis and driving preventative improvements
What you’ll bring
8+ years of professional software engineering experience, with demonstrated impact beyond a single team
2–4+ years of hands-on experience with LLM-powered systems in production, including RAG, agent orchestration, or similar AI-enabled architectures
Experience delivering cloud-native systems on AWS, with familiarity around scalability, reliability, security, and cost management
Proven experience designing and evolving shared platforms or infrastructure used by multiple teams
Solid software engineering fundamentals and the ability to balance delivery with long-term platform health
Strong communication skills and the ability to influence technical direction across teams
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