Senior AI Engineer - Munich, Hybrid

About the Client

Our client is a cutting-edge Deep Tech AI Start-Up backed by Series A funding, focused on building next-generation AI solutions that push the boundaries of innovation. With a strong technical foundation and ambitious growth plans, they are looking for exceptional talent to join their team and help shape the future of AI.

Role Responsibilities

• Design, develop, and optimize advanced AI models, including Large Language Models (LLMs).
• Lead fine-tuning and customization of LLMs for domain-specific applications.
• Implement and improve traditional machine learning algorithms for diverse use cases.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Drive research initiatives to explore new architectures, techniques, and frameworks.
• Ensure scalability, efficiency, and robustness of AI pipelines and infrastructure.
• Mentor junior engineers and contribute to building a world-class AI engineering team.

Key Skills & Qualifications

• Education: Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Experience:
• Proven track record in AI engineering and model deployment.
• Hands-on experience with LLM fine-tuning and prompt engineering.
• Strong background in traditional ML engineering (e.g., supervised/unsupervised learning, optimization).
• Proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Familiarity with distributed systems and cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to work in a fast-paced start-up environment.