• Analyze technical tickets related to incidents and requests; • Participate in root-cause analyses of incidents; • Contribute to initiatives that support internal operational routines.

• Learn the supported solution, customer context, and how our L1/L2/L3 support model works • Shadow ticket handling, environment checks, and incident troubleshooting in real production setups • Own customer tickets end-to-end: triage, investigation, updates, and resolution within SLA • Troubleshoot using logs, system behavior, and structured reproduction; escalate to L2/L3 when needed • Coordinate with HQ and local stakeholders during incidents (Support team, System Engineers, Solution Managers, ...) • Resolve standard incidents independently and consistently according to the support process • Contribute to knowledge base and ticket hygiene (clear steps, root cause notes, reproducible findings) • Support stability: help minimize downtime through proactive checks, clean escalations, and follow-through • Analyze incidents, request missing info, reproduce issues, propose resolution steps • Keep tickets up to date, communicate progress clearly via portal/email/calls • Monitoring, coordinating patches/changes in customer environments, and supporting troubleshooting sessions • Involve System Engineers / Solution Managers / Engineering when needed, track progress • Willingness to join scheduled 24/7 on-call rotations (project-dependent)

Role Description We're looking for a highly technical, hands-on Systems Integration Engineer to build, maintain, and optimize the systems, automations, and integrations that power a fast-growing digital business. This is a builder role not a management position. You'll be responsible for: - Developing AI-powered workflows - Integrating SaaS platforms through APIs - Maintaining web properties - Creating scalable automation systems that improve operational efficiency If you're passionate about automation, AI, systems architecture, and continuous improvement, this is an opportunity to have a direct impact on a rapidly evolving technology environment. Qualifications - 3–5+ years of experience in Systems Integration, Full-Stack Development, Software Engineering, or a related technical role. - Strong programming skills in Python, JavaScript, or a similar language. - Experience integrating SaaS platforms using APIs. - Hands-on experience building automation workflows using Make (Integromat), Zapier, or similar platforms. - Experience working with WooCommerce and/or Shopify. - Strong troubleshooting and debugging skills. - Excellent written and verbal English communication skills. - Availability to work during U.S. Pacific Time (PST) business hours. Requirements - Experience building AI-powered workflows using platforms such as Claude, ChatGPT, Viktor, Helix, or similar technologies. - Experience with Go High Level (GHL), CRM automation, or marketing automation. - Knowledge of Conversion Rate Optimization (CRO), UX/UI, and A/B testing. - Experience working with sales funnels and customer journey optimization. - Background supporting e-commerce or consumer product businesses. - Experience with QuickBooks Online, ShipStation, Omnisend, or similar operational platforms. Benefits - Fully remote opportunity. - Competitive monthly compensation. - Work with modern AI, automation, and integration technologies. - High-impact role with significant technical ownership. - Collaborative, fast-paced, and innovation-driven environment. - Opportunity to grow into a senior technical leadership position. Important Notes - Applications may not be considered if candidates have limited hands-on programming experience. - Lack experience integrating SaaS platforms through APIs. - Have little or no experience with automation tools such as Make or Zapier. - Do not have experience with WooCommerce or Shopify. - Do not meet the English communication requirements. - Are unavailable to work during U.S. Pacific Time (PST) business hours.

• Act as the primary Subject Matter Expert (SME) on Generative AI, LLM reasoning patterns, and autonomous agent frameworks. • Translate complex business requirements from client stakeholders into rigorous technical blueprints. • Lead the architectural design, advisory, and execution of high-impact AI agent ecosystems for enterprise clients. • Own the technical vision for the core Go harness pattern. • Lead the detailed design specifications for agents, establishing structural tool definitions and systemic prompt engineering. • Design and implement a continuous shadow-mode evaluation harness to validate agent performance against live production data. • Oversee or directly build the initial shadow-mode Proof of Concept (PoC) for the first designated agent to accelerate project kickoff.