Staff AI Engineer building and deploying production AI agents, data pipelines, and ML features for a platform serving 70M+ users. Requires 6+ years experience with AI engineering, MLOps, and data-intensive systems.
Salary not listed
Hybrid6+ YOEML Engineering
About the role
What You’ll Own
Build, deploy, and maintain AI agents and features across Linktree’s core product surfaces — including personalisation, recommendations, and creator analytics
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 & versioning, testing & 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
Who We’re Looking For
6+ years engineering experience with experience in building and maintaining data intensive, production systems
Familiarity with modern AI engineering techniques such as prompt-engineering, fine-tuning, eval loops, and technologies such as Gemini, Claude and OpenAI APIs
Hands-on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar)
Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring
Familiarity with cloud infrastructure (we use AWS) and containerization
Experience with shortening “build-measure-learn” by means of prototyping and experimentation to iterate quickly and build software users love
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