Voice AI Engineering Principal (AI)

TL;DR

Voice AI Engineering Principal (AI): Leading the research, design, and engineering of next-generation voice and conversational AI solutions with an accent on ASR, TTS, LLM, and NLP. Focus on building and scaling high-performing AI/ML engineering teams, driving collaboration, and architecting robust, scalable production systems for voice AI products.

Location: Hybrid in Berlin, Germany (requires regular office presence).

Company

hirify.global is a product company focused on simplifying customer experience through innovative software.

What you will do

• Lead research, design, and engineering for next-generation Voice AI solutions, including ASR, TTS, LLM, and NLP.
• Build, mentor, and scale a high-performing AI/ML engineering team while fostering an innovative culture.
• Drive collaboration across research scientists, software engineers, and product teams to transform AI models into production systems.
• Oversee large-scale AI research and development projects, ensuring delivery of high-quality, real-world solutions.
• Architect and implement AI models leveraging deep learning algorithms like DNNs, CNNs, RNNs, and Transformer-based architectures.
• Collaborate with stakeholders to define technical vision, roadmap, and strategy for voice AI products.

Requirements

• Proven expertise developing and applying speech and NLP models, including extensive hands-on experience with DL frameworks such as PyTorch, TensorFlow, Keras, and Huggingface.
• Deep knowledge of AI architectures including DNN, CNN, RNN, Transformers, and experience fine-tuning large pre-trained models (e.g., BERT, GPT).
• Expert-level proficiency in Python, C++, Java, R, Linux/Shell scripting, with strong engineering discipline in the software development lifecycle.
• Demonstrated leadership in building and guiding AI/ML teams through complex research and engineering challenges.
• Experience deploying voice AI systems in production, including ASR, diarization, TTS, NMT, and dialog systems with a focus on noise robustness and multilingual capabilities.
• Hold an M.S. in Engineering, Computer Science, or a related field, with a strong foundation in machine learning, speech processing, and on-device AI.

Nice to have

• Experience with real-time streaming architectures, such as WebRTC or gRPC.
• A track record of technical presentation, publication, or open-source contribution in conversational AI or generative agents.
• Experience driving organizational adoption of new technologies and influencing company-wide architectural decisions.

Culture & Benefits

• Hybrid work model designed for connection, collaboration, learning, and flexibility for remote work part of the week.
• Offices reflect global cities and provide spaces for collaboration, quiet work, and events.
• Commitment to fostering global diversity, equity, and inclusion in the workplace.
• Provides reasonable accommodations for applicants with disabilities and disabled veterans.