Senior AI and Automations Engineer

P
PearlRecruitment, HR Tech
Remote (Philippines, Latin America, Indonesia, Global), 9 AM – 5 PM ESTFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
4–7 years in software development
Required Skills
Node.jsPostgreSQLPythonFlaskGitFastAPINext.jsReactRESTful APIsGoogle Sheets

Requirements

  • 4–7 years of experience in full-stack software development
  • At least 2 years focused on backend/full-stack
  • 1+ year working with AI/LLM integrations or automation at scale
  • Built and shipped automation workflows in production
  • Integrated 3+ systems together in a single pipeline
  • Wired LLM APIs into business workflows (structured output systems)
  • Built at least one internal tool end-to-end (database schema to API to frontend)
  • Portfolio or GitHub with real projects
  • Worked in a startup or small team environment
  • Communicates proactively
  • Python backend + React/Next.js or similar frontend experience
  • Production experience with N8N, Make, Zapier or comparable orchestration tools
  • Hands-on experience integrating OpenAI, Anthropic/Claude, Google Gemini APIs
  • Strong API integration skills (CRMs, ATS platforms, communication tools)
  • Database fluency (PostgreSQL or similar)
  • Comfortable with Google Sheets/Apps Script as a data layer
  • Can communicate technical trade-offs clearly to non-technical stakeholders
  • Ships fast and comfortable with "good enough to test" V1s
  • Self-directed and proactive problem-finder
  • Excellent written and verbal communication in English

Responsibilities

  • Build and maintain automation infrastructure processing 25,000+ candidates monthly
  • Integrate LLM APIs (Claude, Gemini, OpenAI) into production candidate evaluation and matching pipelines
  • Architect and ship internal tools like matching engines, scoring systems, and data pipelines
  • Own the technical build on N8N (self-hosted), designing reliable, scalable workflows
  • Eventually build client-facing product features (portals, matching interfaces, AI-powered tools)
  • Enable non-technical teammates to operate systems without engineering support
  • Design, build, and maintain automation workflows on N8N (self-hosted)
  • Build integrations between Workable (ATS), HubSpot (CRM), Google Sheets, and AI model APIs
  • Implement error handling, retry logic, webhook reliability, and monitoring
  • Optimize workflows for cost (token management, API call efficiency) and speed
  • Create Google Sheets-based interfaces for operations teams
  • Wire up LLM APIs into candidate evaluation, matching, and scoring workflows
  • Build prompt engineering systems with structured outputs
  • Develop candidate-to-JD matching tools
  • Prototype and ship internal AI tools to solve operational bottlenecks
  • Build toward client-facing product features
  • Architect data models and backend services (FastAPI/Flask/Node.js)
  • Develop frontend interfaces (React/Next.js) for internal dashboards and client-facing products
  • Document systems and create handoff materials
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