Senior Software Developer III*

Job description

Caseware combines over 35 years of industry expertise with AI-powered technology to transform how audit and accounting professionals work. Serving organizations across 130 countries, we bring intelligent automation directly into audit and financial reporting workflows—helping professionals reduce manual work, navigate complexity, and focus on informed decisions. Join our global team and help build technology that strengthens trust in financial information. As a Senior Software Developer III, you operate as a technical leader within your team and across the broader engineering organization. You shape architecture and design, raise the bar on engineering quality, mentor other developers, and partner closely with cross-functional stakeholders to translate technical decisions into business value. You are equally comfortable guiding agentic-AI tools to deliver code, reviewing designs, and influencing how the platform evolves. 📍 Location: This is a fully remote position located in Colombia. Contact [Maira Russo](https://www.linkedin.com/in/ma%C3%ADra-russo/) - Senior Talent Acquisition Partner ### What You’ll Be Doing: - You build it, you run it. End-to-end accountability for the AI platform in production: architecture, delivery, operations, cost, and quality, with on-call for what you ship. No hand-off to a separate ops or QA function. - Design, build, and operate agentic AI systems: LLM services, retrieval pipelines, multi-agent orchestration, agent execution runtimes, and human-in-the-loop capabilities. - Build and operate memory infrastructure for agent systems (storage, retrieval, promotion/demotion mechanics). Applied Science owns promotion criteria and scientific soundness. - Own LLMOps: the harnesses, pipelines, and infrastructure that keep non-deterministic systems reliable and correct in production, including dynamic model selection by task, cost, and latency. - Build automated eval infrastructure that continuously compares offline and online metrics and alerts on drift or regression. Applied Science owns the methodology and acceptance thresholds it checks against. - Evaluate, adopt, and integrate third-party LLMOps and eval platforms where they accelerate delivery over building in-house. - Build the technical controls, telemetry, and guardrails that enforce compliance frameworks (e.g., ISO 42001, AIUC-1) in the architecture itself. - Build and maintain the agent definition management APIs and the tool registry definitions reference, keeping definitions stable as tools and models version independently. - Lead the engineering build of proof-of-concepts. Applied Science defines the architecture bet and validation criteria being tested. ### Core Responsibilities - Create architecture, prototypes, and design proposals that deliver near-term business value while aligning with the future-state product and platform vision. - Influence technical direction through architecture reviews, RFCs, design discussions, and hands-on collaboration. - Partner with senior developers, architects, and tech leads to define and execute the product/platform architecture roadmap. - Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions. - Break down large initiatives into parallelizable chunks of work that deliver incremental business value. - Champion proposals through all phases of the SDLC, from design through production implementation. - Contribute to improving the core product build, CI/CD pipelines, and overall SDLC. - Troubleshoot and eliminate root causes of persistent production issues; drive reliability, observability, monitoring, and incident response. - Keep technical documentation current and create new artifacts as needed. - Facilitate design discussions within and across teams. - Represent the team in technical discussions with Tech Leads, Operations, Product/UX, Security, Domain SMEs, and external stakeholders. - Act as a trusted technical leader, helping teams succeed through collaboration, influence, and shared ownership. - Mentor other developers through design reviews, joint agentic-AI sessions, and feedback on skills, prompts, and other agent inputs; contribute to raising overall engineering maturity. - Share knowledge of new technologies and industry best practices. - Evaluate emerging technologies, frameworks, and cloud capabilities that could benefit the platform. ### AI-Augmented Development Expectations: - Use AI-assisted development tools — inline completion, conversational assistants, and agentic workflows — as a standard part of your daily workflow. - Critically evaluate and take ownership of all AI-generated output before it ships — verify correctness, security, and alignment with architecture and team standards. - Identify opportunities for agentic automation within your team, and lead the rollout of new AI-assisted workflows and tooling. - Mentor other developers on effective, responsible use of AI-assisted development tools. - Help establish team-level practices and guardrails for using AI tools safely and effectively. - Build and refine feedback loops that improve the team's collective use of AI tooling over time. ### What You Will Bring: - 2+ years building and operating production AI systems, with a working grasp of the latency, cost, accuracy, and reliability trade-offs involved. - Experience with agent frameworks, agent memory systems, or orchestration of tool-using AI systems. - Production AWS experience, including Infrastructure as Code (CDK, CloudFormation, or Terraform).