AI Builder

We are looking for an AI Builder & Customer Success Enginee r who can bridge technical execution with client-facing support. This role blends AI systems building, workflow automation, and hands-on customer enablement. You will design and deploy AI-powered solutions, implement integrations, and guide customers through onboarding and long-term adoption. If you are strong in automation tools, LLM-based workflows, and enjoy helping customers get real value from AI systems, this role will fit you well. Why You’ll Want to Join You will be paid in USD (bi-monthly: every 15th and 30th) Up to 14 days of Paid Time Off annually (starting Day 1) Observance of Holidays based on your location 100% remote setup with flexibility to work where you perform best Opportunity to work on meaningful, international AI projects Fast-moving environment where you will contribute directly to product and customer outcomes What You’ll Work On AI Build and Development Build, test, and refine AI-driven workflows using tools such as Make, Zapier, and custom automation logic Develop and improve AI agents for voice and chat powered by LLMs like ChatGPT, Claude, and similar APIs Connect AI workflows to CRMs, databases, billing systems, and internal tools Work with APIs, webhooks, and JavaScript to create scalable logic and intelligent flow behavior Troubleshoot issues across multi-system integrations and ensure stability and reliability Customer Success Engineering Lead customers through onboarding, configuration, and go-live processes Support integration work such as data mapping, CRM setup, and AI agent configuration Serve as the primary technical partner for customer usage, adoption, and retention Translate customer problems into actionable AI workflows and platform enhancements Produce clear documentation, diagrams, SOPs, and technical guides Provide performance insights, workflow analytics, and recommendations for improvement Process and System Improvements Improve onboarding systems, templates, and internal handoff workflows Build internal SOPs and scalable processes for customer implementation Partner with product and engineering teams to deliver structured customer feedback and identify opportunities for improvement What You Bring 3 to 5+ years of experience in Customer Success, Technical Implementation, or Client Onboarding within SaaS or AI-related environments Strong working knowledge of Make , Zapier , or other low-code automation platforms Comfortable working with APIs, webhooks, and connecting multiple external systems Hands-on experience building AI workflows, LLM integrations, or AI agents for chat or voice Strong understanding of workflow logic, system architecture, and automation design Proficient in JavaScript for custom steps inside automation tools Excellent communication skills with a clear and structured approach Strong project management capability, able to run multiple onboarding tracks in parallel Proactive, resourceful, and confident navigating fast-paced and ambiguous environments Nice to Have Experience with AI voice tools such as Vapi, ElevenLabs, Twilio, Decagon, or Aircall Background integrating HubSpot, Salesforce, Attio, or other CRM systems Familiarity with Airtable, Google Sheets, Notion, or internal database automations Ability to create training videos, process documentation, or workflow diagrams Experience working in startup or early-stage environments How to Apply Please include: Your updated resume A short 1 to 2 minute Loom video introducing yourself A portfolio or playlist with at least two automation or AI workflow projects If you are excited about building AI systems, guiding customers, and shaping how businesses adopt intelligent automation, we would love to hear from you. Application Process Overview Our comprehensive selection process ensures we find the right fit for both you and our clients: Initial Application  - Submit your application and complete our prequalifying questions Video Introduction  - Record an video introduction to showcase your communication skills and work experience Role-Specific Assessment  - Complete a homework assignment tailored to the position (if applicable) Recruitment Interview  - Initial screening with our talent team Executive Interview  - Meet with senior leadership to discuss role alignment Client Interview  - Final interview with the client team you'd be supporting Background & Reference Check - Professional reference verification Job Offer  - Successful candidates receive a formal offer to join the team Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.