Senior AI and Automations Engineer

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🕒 March 11

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Catena

WebsiteLinkedInAll Job Openings

1 - 10 employees

👥 HR Tech

🏢 Enterprise

🎯 Recruiter

HR Tech • Enterprise • Recruitment

Catena, now known as Pearl Talent, is a company that specializes in helping organizations hire top remote talent from overseas, primarily focusing on candidates from the Philippines and Latin America. They offer a rigorous vetting process to ensure they provide highly capable candidates equipped with modern software skills and fluent English proficiency. Pearl Talent provides two main hiring services: Managed Services, which handles compliance, payroll, and training, and Direct Placement for companies that manage hires internally. They focus on long-term retention and quality in their hiring processes, aiming to build high-performing remote teams for a range of industries including healthcare, real estate, and finance.

📋 Description

• 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. • 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.

🎯 Requirements

• 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 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. • We want to see messy, real-world stuff they actually shipped. • 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. • Must-Haves (Required) • 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. • Nice-to-Haves (Preferred) • 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.

🏖️ Benefits

• 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