Pearl Talent - Senior AI and Automations Engineer - I040
Pearl Talent View all jobs
- Central Luzon
- Permanent
- Full-time
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 internal tool end-to-end - from database schema to API to frontend - that a team actually used in production.
- Can show a portfolio or GitHub with real projects, not just tutorial repos.
- Has worked in a startup or small team environment where they had to wear multiple hats, make architecture decisions without a senior lead, and ship under time pressure.
- Communicates proactively - sends updates before being asked, flags blockers early, writes docs without being told to. We're a remote async team and this is non-negotiable.
- 4-7 years of experience in full-stack software development (Python backend + React/Next.js or similar frontend).
- Production experience building and maintaining automation workflows - N8N, Make, Zapier, or comparable orchestration tools at scale (not hobby projects).
- Hands-on experience integrating LLM APIs (OpenAI, Anthropic/Claude, Google Gemini) into production systems - prompt engineering, structured output parsing, cost optimization.
- Strong API integration skills - has connected CRMs, ATS platforms, communication tools, and external APIs in production environments.
- Database fluency - PostgreSQL or similar. Can design schemas, write efficient queries, and build data models.
- Comfortable working with Google Sheets/Apps Script as a data layer alongside proper databases.
- Can communicate technical trade-offs clearly to non-technical stakeholders (recruiters, sales, ops leads).
- Ships fast - comfortable with "good enough to test" V1s and iterating live based on feedback.
- Self-directed - can take a vague brief ("we need candidates matched to JDs faster") and scope the technical approach independently.
- Proactive problem-finder - identifies optimization opportunities and proposes solutions before being asked.
- Excellent written and verbal communication in English - can write clear documentation, explain technical decisions in Slack/Loom, and collaborate async with a distributed team.
- Experience in staffing, recruitment, or HR tech - understands ATS data models, candidate pipelines, and placement metrics.
- Has built a client-facing product (not just internal tools) - portal, marketplace, or SaaS feature.
- Experience with N8N self-hosted specifically (community nodes, custom functions, credential management).
- Familiarity with AI agent frameworks (CrewAI, AutoGen, LangChain) or agentic tool setups (MCP servers, Claude Workspace).
- Experience with HubSpot or Workable APIs.
- Monthly performance bonus
- Fully remote, forever
- Annual team retreat
- Unlimited PTO
- Real-world experience in recruitment marketing and sourcing
- A behind-the-scenes look at how we connect people with opportunities
- A supportive team that values your growth and ideas
If you're hungry to lead, build, and scale-and you've done it before-then this is the opportunity you've been waiting for. Apply now and help us build the world's best recruitment team!