
AI Engineer II
Posted Jun 28

Posted Jun 28
This is a fully remote position, open to applicants in Colombia.
• Lead the design, development, and ownership of internal platforms and systems powered by AI, including initiatives created from scratch.
• Oversee the complete delivery of complex projects, from the discovery of problems and system design to production rollout and iterative improvements.
• Design and implement features driven by AI, intelligent automation, and orchestration systems that enhance customer experiences and boost productivity across teams.
• Integrate AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring that solutions fit seamlessly and provide measurable value.
• Develop full-stack systems encompassing backend services, APIs, data layers, and frontend interfaces.
• Convert vague business and operational challenges into scalable, maintainable, AI-enabled technical solutions.
• Employ robust systems thinking to guarantee reliability, performance, security, permissions, and auditability across platforms.
• Work closely with engineers, teams, and stakeholders throughout the company to identify high-impact opportunities and promote adoption.
• Engage in production support and incident response for the systems you own, helping to define and maintain reliability and operational best practices.
• Mentor members of the AI team through code reviews, design feedback, and hands-on guidance, raising the overall quality standards of the team.
• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or similar roles.
• Practical experience in designing, building, and deploying AI-powered systems in production settings.
• Strong expertise in Python, SQL, and frontend frameworks such as React.
• Proven track record in designing and managing production-grade full-stack systems.
• Experience with distributed systems, internal platforms, or complex data workflows.
• Demonstrated experience with Claude or equivalent large language model tools is essential; candidates should be adept at utilizing AI to enhance productivity, research, and communication.
• Capability to navigate effectively in ambiguous problem areas and drive solutions with minimal guidance.
• Flexible work arrangements
• Professional development opportunities
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