Staff AI Engineer — Production-Grade AI & Personalization

Linktree Pty

Greater London

On-site

GBP 110,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Wellbeing allowance
Retirement contribution
Generous vacation & leave
Employee stock options

Job summary

Linktree is seeking a Staff AI Engineer who thrives at the intersection of software, data and AI. You’ll own the full lifecycle of AI applications: building data pipelines, prompt & feature engineering, integrating models into high-throughput, low-latency services, and deploying production-ready, AI-powered features that delight our 70+ million users.

You’ll collaborate with Product and Engineering to translate business problems into scalable AI solutions, lead design reviews, mentor engineers,

Qualifications

  • 6+ years building data-intensive, production systems.
  • Hands-on AI engineering with modern techniques and tools.
  • Experience with cloud (AWS) and containerisation.

Responsibilities

  • Build, deploy, and maintain AI agents and features across Linktree’s core product surfaces.
  • Partner with Product and Engineering to translate business problems into solutions, driving the roadmap from problem definition through to production.
  • Design and own scalable data pipelines for feature engineering, model training, evaluation, and real-time inference.
  • Establish and uphold engineering best practices for AI: evaluation design, prompt management and versioning, testing and monitoring.
  • Lead technical design reviews and mentor engineers on AI foundations and production-grade AI patterns.
  • Evaluate and adopt new AI techniques, frameworks, and tooling to keep Linktree at the frontier of applied AI.

Skills

Data-intensive systems
AI engineering
Prompt engineering
MLOps
Cloud – AWS
Containerization

Tools

Braintrust
AutoEval
Airflow
MLflow
Vertex AI

Job description

Linktree is seeking a Staff AI Engineer who thrives at the intersection of software, data and AI. You’ll own the full lifecycle of AI applications: building data pipelines, prompt & feature engineering, integrating models into high-throughput, low-latency services, and deploying production-ready, AI-powered features that delight our 70+ million users.

You’ll collaborate with Product and Engineering to translate business problems into scalable AI solutions, lead design reviews, mentor engineers,

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