Crooter
Artificial Intelligence Engineer
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Company Description
Crooter is an executive search partner for high-growth, venture-backed software companies, building teams for ambitious businesses from founding hires through pre-IPO leadership. The firm works closely with founders, executive teams, and hiring leaders to secure exceptional talent across functions that drive growth, including engineering, product, design, and executive leadership.
Crooter has deep expertise in AI and machine learning, cloud infrastructure, enterprise software, cybersecurity, data and analytics, fintech, healthtech, and other high-growth technology sectors. Every search begins with a strategic hiring brief and a tailored hiring strategy, focusing on headhunting proven professionals rather than relying on job boards or high-volume outreach. Crooter emphasizes bespoke, long-term partnerships, combining speed, quality, and rigorous assessment to deliver lasting impact for its clients.
Role Description
The Artificial Intelligence Engineer role at Crooter is a full-time, on-site position based in the London Area, United Kingdom. In this role, the engineer will design, build, and optimize AI models and systems, with a particular focus on applications in high-growth software and technology environments.
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Day-to-day responsibilities include:
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- Developing and training neural networks
- Implementing pattern recognition and NLP solutions
- Integrating AI capabilities into production-grade software
The engineer will collaborate with cross-functional teams to translate business requirements into technical designs, evaluate new tools and frameworks, and ensure AI solutions are reliable, scalable, and secure. The role also involves continuous experimentation, performance monitoring, and documentation of models and pipelines.
Qualifications
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and scalable system design.
- Hands-on experience with Neural Networks and Pattern Recognition, including model training, optimization, and evaluation.
- Practical expertise in Natural Language Processing (NLP), such as text classification, entity recognition, and language modeling.
- Proficiency in one or more programming languages commonly used in AI (e.g., Python, Java, or C++) and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- Experience deploying AI models into production environments and working with cloud platforms (e.g., AWS, GCP, Azure) is highly beneficial.
- Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly to non-technical stakeholders.
- Ability to work collaboratively in an on-site team environment and adapt to the needs of high-growth, technology-focused clients.
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