Senior AI and Automations Engineer
About the role
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.
What you'll do
- 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.
Requirements
- 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.
About Pearl Talent
Pearl Talent is a talent placement company that recruits remote workers, trains them to work effectively with AI tools, and places them as managed contractors with client companies — across roles ranging from client-facing positions to software engineers and executive assistants. The company is roughly 50 people managing a few hundred placed contractors, growing into new verticals, with clients spanning venture-backed tech and healthcare sectors. They emphasize community-building (events, culture) alongside the placement business itself.
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