# Staff AI Engineer

**Company:** [Linktree](https://hotfix.jobs/companies/linktree)
**Location:** Los Angeles, CA, San Francisco, CA
**Role:** ML Engineering
**Experience:** 6+ years
**Skills:** Python, AWS, Airflow, MLflow, Vertex AI, Gemini API, Claude API, OpenAI API, Prompt Engineering, Fine-tuning, ETL, Data Pipelines, MLOps, Containerization
**Posted:** 2026-06-15

> 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.

## Job Description

## 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

## Similar roles

- [Staff Machine Learning Engineer, Traffic Intelligence](https://hotfix.jobs/jobs/cee28c3a-eb64-42f7-a584-8d2b4a0980b8) - Airbnb - Remote - $212k – $265k/yr
- [Member of Technical Staff, Agentic Environments](https://hotfix.jobs/jobs/f3ceb248-2d3e-4b28-a5d1-10891969916e) - Cohere - Remote
- [Staff Machine Learning Infrastructure Engineer, Embedding Platform](https://hotfix.jobs/jobs/9b4387bf-ac16-48ba-810b-2e6a612e3617) - Reddit - Remote - $253k – $355k/yr
- [Senior Staff Machine Learning Engineer, Feed Relevance](https://hotfix.jobs/jobs/a2f9b178-c6cf-49bf-ba93-00688d1027fb) - Reddit - Remote - $266k – $372k/yr
- [Staff Applied Scientist](https://hotfix.jobs/jobs/d518c7a7-07d4-4f06-af79-9c478df769ca) - Garner Health - New York, NY - $300k – $390k/yr

**Apply:** https://hotfix.jobs/jobs/7e80d6c1-a095-4381-91c2-867d1e3d477d
**Canonical:** https://hotfix.jobs/jobs/7e80d6c1-a095-4381-91c2-867d1e3d477d