Senior AI Software Engineer

Caseware

Senior AI Software Engineer defining architecture for Caseware’s AI platform. Collaborating with various teams to enhance AI capabilities within the company and solving customer problems using advanced AI technologies.

Posted 7/22/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evolving scalable, secure AI architectures, with a strong focus on governance, compliance, and operational efficiency. Proven ability to mentor teams and influence technical direction while delivering high-quality AI systems in fast-paced environments.

Highest-signal resume keywords

AI System DesignCloud-Native ArchitectureAWS Production SystemsInfrastructure as CodeMentorship and Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI System TradeoffsGovernance ControlsMulti-Tenant PlatformsDistributed SystemsLLM ImplementationWorkflow OrchestrationMemory ManagementIncident Response PracticesEvaluation FrameworksAI Guardrails

Soft Skills

Strong CommunicationCollaborationInfluenceMentoringAdaptability

Tools & Technologies

AWSCDKCloudFormationTerraformAI-Enabled Services

Industry Keywords

AI CapabilitiesSaaSOperational EfficiencyScalabilityProduction Environments

Tech Stack

Tools & technologies

AWSCloudTerraform

About the role

Key responsibilities & impact

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-in-the-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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

¨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 global 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.