Northwind Robotics - Senior AI and Automations Engineer I040

Job Position Senior AI and Automations Engineer Work Arrangement Fully Remote — Philippines, LatAm, or Global Job Type Full-time Work Schedule 40 hours per week, Monday to Friday Core hours: 9 AM – 5 PM EST Locations Remote (Philippines, Latin America, Global) About Northwind Robotics : Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They're looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Hear why we exist, what we believe in, and who we’re building for: Watch here Why Work with Us? At Pearl, we're not just another recruiting firm — we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, make an impact, and build a long-term career. We believe in creating environments where your potential is recognized, your voice matters, and your success is tied to meaningful work — not short-term perks. Role Overview: As a Senior AI and Automations Engineer, you will be the primary builder on Pearl's AI and Automation team. You will design, build, and ship the automation workflows and AI-powered tools that drive Pearl's recruitment operations — from candidate pre-qualification pipelines to client-facing matching systems. You'll work directly with the AI & Automation Strategy Lead to translate strategic priorities into production systems. This is a hands-on, high-ownership role: you'll be building from day one, not sitting in planning meetings. This role is ideal for someone who is a fast, independent builder — comfortable shipping V1s quickly, integrating AI APIs into real business workflows, and iterating based on feedback from non-technical stakeholders. Your Impact In this role, you will: Build and maintain the automation infrastructure that processes 25,000+ candidates monthly through multi-step AI workflows. Integrate LLM APIs (Claude, Gemini, OpenAI) into production candidate evaluation and matching pipelines. Architect and ship internal tools — matching engines, scoring systems, data pipelines — that directly reduce recruiter workload and accelerate placements. Own the technical build on N8N (self-hosted), designing reliable, scalable workflows with proper error handling and monitoring. Eventually build client-facing product features — portals, matching interfaces, AI-powered tools — as Pearl scales its technology offering. Enable the team to move faster by creating systems that non-technical teammates can operate without engineering support. Areas of Responsibility: Automation Infrastructure — 50% Design, build, and maintain automation workflows on N8N (self-hosted) that power Pearl's candidate processing pipeline. Build integrations between Workable (ATS), HubSpot (CRM), Google Sheets, and various AI model APIs. Implement error handling, retry logic, webhook reliability, and monitoring across all production workflows. Optimize existing workflows for cost (token management, API call efficiency) and speed. Create Google Sheets-based interfaces so operations teams can interact with automations without touching the backend. AI Integration & Tooling — 30% Wire up LLM APIs (Claude, Gemini, OpenAI) into candidate evaluation, matching, and scoring workflows. Build prompt engineering systems with structured outputs — reliable, repeatable, and production-grade. Develop candidate-to-JD matching tools that pull from Workable reports, score against client requirements, and surface ranked profiles with match explanations. Prototype and ship internal AI tools that solve operational bottlenecks identified by the Strategy Lead and department heads. Product Development & Scaling — 20% Build toward client-facing product features: matching portals, onboarding experiences, AI-enabled talent tools. Architect data models and backend services (FastAPI/Flask/Node.js) for internal and external tools. Develop frontend interfaces (React/Next.js) for internal dashboards and eventually client-facing products. Document systems and create handoff materials so that upkeep can be managed by other team members. Requirements What a Successful Candidate Looks Like 4–7 years in software development , with at least 2 years focused on backend/full-stack and 1+ year working with AI/LLM integrations or automation at scale. Has built and shipped automation workflows in production — not just prototypes. They've dealt with broken webhooks at 2am, token cost blowouts, and API rate limits in real environments. Has integrated 3+ systems together in a single pipeline (e.g., CRM → AI model → ATS → notification layer) and owned the reliability of that pipeline. Has wired LLM APIs into business workflows — not just chatbots or demos, but structured output systems that non-technical users depend on daily. Has built at least one in