Principal AI/ML Scientist & Engineer (AI/ML)

TL;DR

Principal AI/ML Scientist & Engineer (AI/ML): Leading the technical strategy and development of AI/ML-based solutions for an AI-native CRM, focusing on extracting value from structured and unstructured data. Focus on building autonomous agentic workflows, real-time reasoning engines, and driving LLMOps strategy while fostering technical excellence within the team.

Location: Hybrid in Germany, Berlin

Company

hirify.global is a product company developing an AI-native CRM solution.

What you will do

• Lead and mentor a team of Applied Scientists and AI/ML Engineers.
• Drive the technical strategy for AI/ML solutions, extracting actionable value and insights from CRM data.
• Build intelligence within the AI-native CRM, including autonomous agentic workflows and real-time reasoning engines.
• Partner with the AI Platform team to drive the overarching strategy for LLMOps.
• Apply deep scientific intuition to design AI systems optimized for customer-centricity and performance.
• Act as a technical authority, shaping the AI engineering roadmap and setting the technical bar.
• Lead as a high-impact individual contributor on critical systems, balancing building with effective delegation.

Requirements

• 8+ years of applied science or engineering experience with a broad understanding of the full ML and AI lifecycle in high-scale production environments.
• Proven ability to lead and scale a technical team, with experience mentoring senior talent.
• Deep expertise in modern AI engineering concepts and tech stacks, including agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases.
• You are a deep scientist by training but a builder by choice, prioritizing shipping iterative solutions to solve real customer problems.
• Proven track record of delivering customer and business value through complex AI/ML-based solutions at scale.
• Broad exposure to ML, Deep Learning, and AI, understanding practical trade-offs between different models.
• Excellent product sense and business awareness to translate technical and scientific choices into tangible user improvements.
• Ability to lead through influence and technical authority, partnering with platform teams.
• Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, and data engineering (batch pipeline, feature store, Kafka).

Culture & Benefits

• Be part of a people-first culture that values authenticity, collaboration, and diversity.
• Opportunity to push boundaries, take ownership, and experiment with the latest technologies to enhance the AI First Vision.
• Enjoy flexible hours, wellness perks, performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and pawternal leave.
• Grow through mentorship, coaching, and internal mobility with open, honest feedback and clear communication.
• Help 100,000+ small and medium-sized businesses grow and succeed through meaningful, customer-driven work.