Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Defining and driving applied AI strategy across AI agents and Generative AI with an accent on model evaluation, routing, and agent behavior. Focus on translating research into production-ready solutions and building the foundations of applied science at scale.

Location: Must be based in Germany (Remote, Berlin, or Munich offices)

Company

hirify.global is building enterprise-grade conversational AI and agentic systems to transform customer experience for global brands.

What you will do

• Define and lead applied AI initiatives across agent systems, LLM evaluation, and model optimization.
• Design and implement evaluation and benchmarking frameworks to measure and improve AI systems.
• Drive innovation in agentic systems, focusing on routing, memory, and context engineering.
• Prototype and validate new approaches, including fine-tuning strategies and open-weight models.
• Translate research into production-ready solutions in close collaboration with engineering teams.
• Establish and lead the Applied Science guild and mentor other technical team members.

Requirements

• 12+ years of overall experience in Applied Science or related fields.
• At least 5 years of hands-on experience in ML/AI with a track record of delivering production systems.
• Experience with agent-based systems or multi-step LLM workflows.
• Strong proficiency in working with LLMs and Generative AI in production environments.
• Deep understanding of evaluation methodologies, benchmarking, and model performance analysis.
• Must be based in Germany to work remotely or from the Berlin/Munich offices.

Nice to have

• Familiarity with model routing, fine-tuning, or open-weight models.
• Background in human-in-the-loop evaluation or annotation systems.
• Contributions to public research, technical blogs, or open-source projects.

Culture & Benefits

• High-ownership environment focusing on outcomes rather than just tasks.
• Opportunity to work in a fast-scaling company backed by leading global investors.
• Culture of fast execution, direct feedback, and high technical standards.
• Focus on building the global category leader in enterprise conversational AI.

Hiring process

• Talent Acquisition screening.
• Technical Peer Interview.
• 360° Technical Interview Loop.
• Bar Raiser session.