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This listing was closed on Aug 11, 2026.
Browse Open JobsStaff AI Engineer
Summary by AIEngineer.careers
Staff AI Engineer is a AI Engineer role (full-time). with Bluefish AI. in REMOTE, WORLDWIDE. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
REMOTE · WORLDWIDE
—
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Bluefish AI is seeking a Staff AI Engineer to lead the technical vision and execution of their LLM-powered marketing platform. You will own critical architectural decisions across data pipelines, model integration, deployment, and evaluations, working with Fortune 500 customers. This role combines data backend and ML engineering, requiring expertise in scaling systems, mentoring, and cross-functional collaboration.
Responsibilities
- Lead end-to-end architecture for data platforms and pipelines including scraping, extraction, transformation, storage, serving, and ML/LLM integration.
- Incrementally scale pipelines and systems with safe rollout plans and north star data-quality metrics.
- Translate business goals into actionable data products, draft RFCs, and sequence work into deliverable projects.
- Establish engineering standards for testing, evals, observability, data contracts, and security.
- Mentor Senior Engineers and multiply impact through code reviews, documentation, and pairing.
- Ship meaningful experiments, prototype data/ML capabilities, and evaluate ROI and productionalization.
Requirements
- 8+ years building and operating production data systems with cross-cutting architectural changes and deploying LLMs at scale.
Bluefish AI
New York · US · 114+ employees
Bluefish is an Agentic Marketing Platform (AMP) designed for Fortune 500 brands to gain visibility and influence across AI-driven channels such as ChatGPT, Google AI Overviews, and Perplexity. They help enterprise marketing leaders optimize their presence and performance in the AI-centric internet.
