Staff AI Engineer
Bluefish AI3 months ago
Remote, United KingdomStaff+
Responsibilities
- Lead end-to-end architecture for data platforms and pipelines covering scraping, extraction, transformation, storage, serving, and ML/LLM integration.
- Scale pipelines and systems safely while maintaining data quality, performance, reliability, security, and cost efficiency.
- Translate business and product requirements into data products, RFCs, problem spaces, and sequenced deliverable projects.
- Establish engineering standards for testing, evaluations, observability, data contracts, and security across services.
- Lead architecture reviews, codify patterns, mentor senior and junior engineers, and increase organizational effectiveness through documentation, code reviews, and pairing.
- Prototype data and ML capabilities, evaluate feasibility and ROI, and make pragmatic productionization decisions.
- Define cross-functional ways of working among AI engineers, software engineers, DevOps, product managers, and designers.
Requirements
- 8+ years building and operating production data systems, including leading cross-cutting architectural changes and deploying LLMs in real-world scenarios at scale.
- Deep experience with Python, modern service architectures, system design, and data modeling.
- Extensive experience training and deploying machine learning models, particularly in NLP and LLM applications.
- Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.
- Experience with SLOs, on-call and incident practices, observability, data preprocessing, feature engineering, and model evaluation.
- Strong analytical, problem-solving, communication, and demonstrated technical leadership abilities.
Benefits
- Hybrid or remote work in the United Kingdom; role linked with the London location.
- Opportunity to join a fast-moving AI startup with immediate ownership, impact, and career growth potential.
Tech Stack
Categories
About Bluefish AI
Bluefish AI builds an enterprise marketing platform that tracks, influences, and measures brand performance across AI assistants and AI-driven search, including ChatGPT, Google AI Overviews, Claude, Perplexity, and Amazon Rufus. It sells SaaS tools and analytics to Fortune 500 and other large brands to manage AI brand safety and optimize visibility. Founded in 2024 and headquartered in New York City, the company is privately held.