We are a recruitment and staffing consultancy building a next-generation, AI-enabled delivery platform. We are hiring an AI Engineer / AI Implementation Specialist to design, build, and operate production-grade AI systems across our full recruitment lifecycle for clients — from sourcing and outreach to pipeline intelligence and automated client reporting. This is NOT a research role and NOT a prompt-only role. You will be responsible for shipping real systems that recruiters and clients rely on every day. Core Responsibilities 1. AI Sourcing & Shortlisting Engine • Design and deploy AI agents to source candidates from: o Job boards o LinkedIn o Internal and third-party databases • Build candidate enrichment pipelines (skills, seniority, availability, salary) • Implement semantic matching and ranking between job requirements and candidate profiles • Maintain vector databases and scoring logic to deliver ranked shortlists by fit and readiness 2. Outreach & Engagement Automation • Build AI-personalised, multi-channel outreach campaigns (email, LinkedIn, SMS/WhatsApp) • Implement: o Dynamic personalisation o Reply classification (interested / later / not a fit) o Automated follow-ups • Design and deploy AI-driven screening flows • Implement automated interview scheduling, including time-zone handling and rescheduling logic 3. Pipeline Visibility & Decision Intelligence • Build live dashboards for recruiters and leadership showing: o Recruiter output o At-risk roles o Pipeline health o Forecasted billings o Delivery blockers • Develop decision-support logic to: o Flag stalled roles o Predict placement likelihood o Surface risk early in the hiring lifecycle 4. Client Communication Automation • Design systems that automatically generate weekly client updates, including: o Candidate progress summaries o Pipeline health o Hiring insights and market feedback • Ensure outputs are: o Accurate o Explainable o Client-ready • Automate delivery via email and reporting dashboards Required Skills & Experience AI & Machine Learning (Applied) • Strong experience with LLMs (OpenAI, Claude) • Prompt engineering for: o Personalisation o Structured outputs o Scoring and summarisation • Semantic search and matching using: o Embeddings o Vector databases (Pinecone, Weaviate, Qdrant, FAISS) • Bias awareness and evaluation of AI outputs Automation & Systems Engineering • Workflow orchestration using: o n8n (strongly preferred) o Make or similar tools • API integration, webhooks, and event-driven systems • Error handling, retries, logging, and monitoring • Queue-based processing (Redis or similar) Data & Analytics • Strong SQL and data modelling skills • Experience building dashboards with: o Looker, Metabase, Power BI, Retool, or similar • Event tracking and KPI definition • Forecasting and pipeline analytics Outreach, CRM & ATS Integration • Experience integrating: o CRMs (HubSpot, Salesforce, Airtable) o ATS platforms (Bullhorn, Greenhouse, Lever, etc.) • Understanding of: o Email deliverability o Multi-channel sequencing o Consent and opt-out management Nice to Have • Recruitment or staffing industry experience • SalesOps / RevOps background • Experience building AI agents or multi-agent systems • Knowledge of GDPR and data governance in hiring You will be expected to own systems end-to-end, from design to production reliability. Location & Compensation • Remote • Competitive, based on experience and region • Initially contract work but could lead to full time position if the right candidate was interested • Working with fast growing and experienced entrepreneurial team