Senior AI Engineer
Bluefish AI6 months ago
Remote, Germany or Berlin, GermanySenior
Responsibilities
- Lead the development, training, and fine-tuning of large language models and LLM-driven solutions for complex NLP tasks.
- Design and refine scalable production architecture for LLM-based systems.
- Evaluate and improve model accuracy, efficiency, and reliability.
- Address data quality, bias mitigation, and model interpretability challenges.
- Conduct AI and NLP experiments, prototype new ideas, and track advances in the field.
- Collaborate with software engineers, product managers, designers, and other cross-functional partners to shape solutions.
- Mentor junior team members and promote collaboration and innovation.
- Assess and integrate emerging technologies and best practices for LLM solutions.
Requirements
- Previous experience in a similar technology role with practical experience deploying LLMs in real-world scenarios.
- Strong theoretical and practical knowledge of machine learning and natural language processing.
- Extensive experience training and deploying machine learning models, particularly in NLP and LLM applications.
- Proficiency in Python and machine learning frameworks and tools.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proven record of driving innovation in AI and NLP projects.
- Strong analytical, problem-solving, communication, and leadership abilities.
Benefits
- Flexible hybrid or remote work in Germany, linked to the Berlin office.
- Opportunity to join an early-stage AI startup with immediate ownership and impact.
- Significant career growth opportunity as the business scales.
- Globally distributed team with engineering based in Europe and New York.
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.