Staff Ai Engineer

Bluefishai

Remote, Germany
Remote
Llm-powered products
Data platform and llm-powered products
Data pipelines, model integration, model deployment and evals
Bluefishai is seeking a Staff AI Engineer to lead the development of LLM-powered products aimed at transforming marketing and advertising technologies. The role requires extensive experience in data systems, machine learning, and collaboration across teams, offering the chance to influence the future of AI-driven solutions

Job Summary

  • As a Staff AI Engineer, you’ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies.
  • You’ll lead the vision and execution of our data platform and LLM-powered products, owning critical architectural decisions across data pipelines, model integration, model deployment and evals.
  • This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

Matching Summary

Match Score: 85

Bluefishai is seeking a Staff AI Engineer to lead the development of LLM-powered products aimed at transforming marketing and advertising technologies. The role requires extensive experience in data systems, machine learning, and collaboration across teams, offering the chance to influence the future of AI-driven solutions.

Skills & Requirements

Must-have

  • LLM-powered products
  • data platform and LLM-powered products
  • data pipelines, model integration, model deployment and evals
  • ML/LLM integration
  • training and deploying machine learning models
  • operational maturity: SLOs, on-call/incident practices, and observability

Nice-to-have

  • startup-ready, flexible, comfortable with ambiguity
  • craft and collaboration
  • demonstrated grit and resourcefulness
  • thoughtful and strategic thinker
  • commitment to craftsmanship

Key Requirements

  • 8+ years building and operating production data systems
  • leading cross-cutting architectural changes
  • deploying LLMs in real‑world scenarios at scale
  • Deep experience Python and modern service architectures
  • strong system design and data modeling fundamentals
  • Extensive experience with training and deploying machine learning models
  • Proficiency in Python
  • Familiarity with infrastructure as code, CI/CD, and cloud infrastructure
  • Fluency in operational maturity
  • Strong analytical and problem-solving abilities
  • bias towards action and outcomes
  • Experience with data preprocessing, feature engineering, and model evaluation techniques
  • Excellent communication skills
  • Demonstrated leadership experience

Work Rights

Not specified

Tailored Resume

Cover Letter