Implementation Engineer – Technology Industry

• Own implementation workstreams end-to-end, from technical scoping and planning through configuration, testing, and go-live
• Build and configure integrations between the platform and tools including Figma, Slack, Microsoft Teams, Adobe, and performance dashboards
• Evaluate integration approaches, data mappings, configuration requirements, and technical trade-offs
• Collaborate with Product, Engineering, and agency stakeholders during implementation and rollout
• Identify and communicate technical risks, blockers, dependencies, and trade-offs
• Understand customer and agency data environments, workflows, and pain points to design tailored onboarding and implementation solutions
• Develop repeatable implementation playbooks, technical documentation, training materials, and onboarding processes
• Onboard and informally mentor junior implementation engineers
• Leverage AI-enabled development tools and workflows for engineering, automation, debugging, and operational tasks
• Orchestrate multi-step AI and agent-driven workflows
• Review and harden AI-assisted outputs for security, scalability, maintainability, reliability, and architectural fit
• Support prompts, evaluation frameworks, documentation, and operational context systems
• Contribute to automated evaluation and feedback loops for AI-enabled systems and workflows
• Stay current with platform capabilities, APIs, integration patterns, and AI tooling

• 2–5 years of experience in implementation engineering, solutions engineering, technical delivery, or a related technical role
• Working knowledge of APIs, data systems, integrations, and cloud-based architectures such as Google Cloud, Azure, or similar platforms
• Ability to independently deliver high-quality technical implementation work on complex projects
• Strong communication skills for technical and non-technical audiences
• Experience collaborating with cross-functional teams across Product, Engineering, and other business or client-facing functions
• Ability to work in ambiguous environments and adapt to rapidly evolving requirements and priorities
• Strong problem-solving skills and a growth mindset
• Comfortable using AI-enabled development tools and workflows
• Experience orchestrating multi-step AI or agent-driven workflows
• Strong judgment reviewing and hardening AI-assisted outputs for security, scalability, maintainability, reliability, and architectural fit
• Experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems
• Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows
• Reliable internet connection and laptop
• Must be currently based in Latin America

• 100% Remote Work
• Highly Competitive USD Pay
• Paid Time Off
• Work with Autonomy
• Work with Top American Companies
• Engagement activities
• Work-life balance support
• Collaboration with a diverse, multicultural global network
• Access to senior, seasoned professionals