Role Description We are seeking a highly proactive AI Automation Engineer to help design, develop, and deploy custom AI-powered automation systems. Working closely with the CTO, you will help pioneer AI builds using Claude Code, n8n, and automation frameworks, delivering solutions that improve efficiency and solve real-world operational challenges for clients. This role is client-facing, meaning strong communication skills and the ability to recommend improvements or alternative solutions are essential. The ideal candidate is someone who enjoys problem-solving, building systems from scratch, and finding smarter ways to automate complex workflows. Key Responsibilities - Design and build AI-powered automation systems using Claude Code, n8n, and related platforms. - Develop custom workflows that integrate AI capabilities into business operations. - Collaborate closely with the CTO to prototype and deploy new automation solutions. - Build and maintain scalable AI workflows and automation pipelines. - Troubleshoot, debug, and optimize existing automation builds. - Work directly with clients to understand requirements and recommend the most effective AI solutions. - Proactively identify opportunities to simplify or improve system architecture. - Contribute ideas, improvements, and technical insights to strengthen project outcomes. - Document builds and processes to support long-term system scalability. Qualifications - Proven experience building automation workflows with n8n. - Hands-on experience working with Claude Code or similar AI coding environments. - Strong problem-solving ability and a proactive mindset. - Ability to communicate technical concepts clearly in client-facing conversations. - Comfortable working in a fast-paced startup environment where processes are evolving. - Experience building automation systems that improve operational efficiency. - Strong initiative and willingness to recommend better technical solutions. Requirements - Nice-to-Have Skills: - Programming experience (Python, JavaScript, or similar). - Experience with Make.com or other automation platforms. - Knowledge of Supabase or similar backend infrastructure tools. - Experience with debugging and bug fixing in complex workflows. - Experience designing AI-powered infrastructure or scalable automation systems. - Background in AI integrations or workflow orchestration. Benefits - 💻 Fully Remote: Work from anywhere with international teams. - 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services. - 🤝 Peer Community: Connect with high-performing sales professionals in our network. - 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement. - 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals.

• Build and deploy AI models with RAG and tool calling for various product features (e.g., AI accounting, new customer onboarding, customer care, document recognition, categorization, fraud detection) • You understand that great models are built on great measurement — you choose the right signals and turn them into meaningful improvements • Collaborate with frontend and backend engineers to bring AI features into production • Stay updated with the latest AI research and propose innovative applications relevant to Finom’s mission

• Design, develop, and deploy AI-driven solutions that enhance our product capabilities • Automate processes and provide our customers with smarter, faster, and more intuitive financial tools • Work closely with product managers and engineers to integrate cutting-edge AI technologies into Finom’s platform • Collaborate with frontend and backend engineers to bring AI features into production • Stay updated with the latest AI research and propose innovative applications relevant to Finom’s mission

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level mechanical engineering problems grounded in real practice. - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). - Improve AI reasoning to align with first principles and accepted engineering standards. - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. - 3+ years of professional mechanical engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.