Lead AI Platform Engineer – Remote, End-to-End & LLMOps

Caseware; Colombia; Vor Ort; COP 120.000.000 - 180.000.000; Vollzeit

Zusammenfassung

Caseware is seeking an experienced AI Platform Engineer to own the end-to-end AI production stack, including architecture, deployment, operations, cost, and quality. You will design and operate LLM services, retrieval pipelines, multi-agent orchestration, and agent execution runtimes with on-call accountability.

You will build memory infrastructure, LLMOps, and automated evaluation to monitor drift and performance.

Qualifikationen

• 2+ years building and operating production AI systems.
• 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).
• Degree in Computer Science, Software Engineering, or equivalent practical experience; 8+ years of professional software development experience with demonstrated impact beyond a single team.
• Proven experience designing and operating distributed, cloud-native, SaaS/multi-tenant platforms at scale, ideally on AWS.

Aufgaben

• 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.
• Troubleshoot and eliminate root causes of persistent production issues; drive reliability, observability, monitoring, and incident response.
• 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.

Jobbeschreibung

Caseware is seeking an experienced AI Platform Engineer to own the end-to-end AI production stack, including architecture, deployment, operations, cost, and quality. You will design and operate LLM services, retrieval pipelines, multi-agent orchestration, and agent execution runtimes with on-call accountability.

You will build memory infrastructure, LLMOps, and automated evaluation to monitor drift and performance.