AI Operations Specialist
We’re looking for an AI Specialist (Operations & Optimization) to help monitor, troubleshoot, and improve our AI-driven products. You’ll be the go-to person ensuring that models run smoothly, workflows stay healthy, and performance issues are spotted and resolved fast. This role is a mix of analytical problem-solving and hands-on systems work — perfect for someone who enjoys digging into logs, identifying patterns, and building better processes. 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 so you can work wherever you feel most productive Join a mission-driven fintech company redefining cash flow automation Work closely with Product and Engineering to shape the evolution of AI systems Build scalable, reliable systems with modern AI and automation tools What You’ll Work On AI System Monitoring Monitor daily dashboards and alerts to ensure AI workflows complete successfully Identify, restart, and troubleshoot failed or stuck processes in real time Perform light debugging and escalate complex issues to the Product or Engineering teams Maintain consistency in uptime, reliability, and data flow across systems Model Performance & Optimization Track and analyze key performance metrics to identify recurring errors or inefficiencies Collaborate with Product and Engineering to refine and improve AI model behavior Annotate or validate data outputs to ensure AI accuracy and consistency Contribute insights that drive measurable improvement in system reliability Tooling & Process Improvement Use tools like Extend , Basepilot , and internal platforms to manage AI operations Test and evaluate new frameworks and automation tools that could improve performance Document repeatable troubleshooting playbooks and standardize operational workflows System Upkeep & Reporting Maintain logs of incidents, resolutions, and root causes for visibility and learning Run light SQL queries and use Postman or API clients to verify data flows Create or enhance dashboards and reports that surface system health and performance What You Bring 3+ years of experience in AI operations, system monitoring, or technical support Strong technical comfort with automation tools and frameworks (Activepieces, Airflow, etc.) Analytical mindset — able to identify patterns and optimize systems through data insights Hands-on troubleshooting ability and attention to detail Strong communication skills and experience collaborating with technical teams Comfortable working across multiple systems with limited documentation Curiosity, adaptability, and a proactive mindset to improve what’s already built Nice to Have Familiarity with finance systems , ERP integrations, or data pipelines Basic understanding of AI workflows, ML models, or automation architecture Experience using monitoring and observability tools like DataDog, Grafana, or similar Exposure to scripting or API workflows (Python, SQL, Postman) How to Apply Please include: Your updated resume highlighting relevant AI operations or system monitoring experience A short 1–2 minute Loom video introducing yourself and explaining a past project or troubleshooting process you managed Only candidates who submit both a resume and Loom video will be reviewed. If you’re the type of person who notices when systems break — and gets satisfaction from making them more reliable — this is your chance to help shape how AI works behind the scenes at a company transforming financial operations. 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.