Bluefish AI, Inc. logo

Staff AI Platform Engineer

Job Overview

Location

Berlin, Remote in Germany

Job Type

Full-time

Category

Software Engineering

Date Posted

April 21, 2026

Full Job Description

📋 Description

  • As a Staff AI Platform Engineer at Bluefish AI, you will play a pivotal role in shaping how AI is adopted and applied across the organization, driving AI-first initiatives that improve developer productivity, streamline workflows, and unlock new product capabilities.
  • You will drive AI adoption by identifying and implementing high-impact use cases, integrate AI tooling into the software development lifecycle, define standards and best practices for AI usage, coach engineers on effective AI tool use, and establish metrics to evaluate AI initiative effectiveness.
  • Bluefish AI is a globally distributed team building an AI marketing platform for Fortune 500 brands, with engineering based in Europe and New York, backed by $43M Series B funding from Threshold Ventures, NEA, Amex Ventures, TIAA Ventures, Salesforce Ventures, and Bloomberg Beta.
  • You will gain deep influence over AI strategy, develop expertise in integrating AI into engineering workflows, mentor teams on responsible AI adoption, and help shape product roadmap based on emerging AI and agentic technologies.

Skills & Technologies

Python
TypeScript
Senior
Remote

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Bluefish AI, Inc. logo
Bluefish AI, Inc.
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About Bluefish AI, Inc.

Bluefish AI provides artificial-intelligence-driven solutions that automate and optimize business processes for mid-market and enterprise clients. The company combines machine learning, natural language processing, and data analytics to build custom software that reduces manual labor, improves decision-making, and lowers operational costs. Products include AI chatbots, predictive analytics platforms, and workflow engines that integrate with existing enterprise systems. Bluefish AI serves sectors such as finance, healthcare, retail, and logistics, offering both cloud-based and on-premise deployments backed by managed services and ongoing model training.

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