AI Engineer
Role details
Job location
Tech stack
Job description
We seek an exceptional Senior AI Engineer to lead the end-to-end design, development, and deployment of strategic AI initiatives. You will play a critical role in architecting scalable, robust, and secure AI and LLM-powered solutions, significantly impacting business operations and strategic decision-making.
In this role, you will guide cross-functional teams, mentor junior and mid-level colleagues, and drive key technical decisions involving complex data engineering, advanced ML models, and next-generation LLM methodologies.
Bring your deep technical expertise, strategic vision, and passion for AI innovation to our expanding team!, * Define comprehensive, scalable AI architectures, leading complex integration of data processing, traditional machine learning, and emerging LLM methodologies.
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Direct development, deployment, monitoring, and continuous optimization of ML pipelines and LLM models in production contexts.
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Actively align technical innovation with organizational business strategies and OKRs, collaborating closely with stakeholders across multiple functions.
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Provide mentorship, guidance, and ongoing leadership to AI team members, driving quality and excellence, including documentation and knowledge-sharing.
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Lead troubleshooting and complex problem-solving efforts, ensuring robust and reliable ML systems and LLM deployments.
Requirements
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Typically 5-8+ years of professional AI experience, demonstrating a successful track record of leading and deploying enterprise-scale AI systems.
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Expert-level proficiency in Python, SQL, cloud platforms (e.g., AWS, Azure, GCP), and container orchestration tools (Docker, Kubernetes).
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Extensive practical experience with production ML frameworks, advanced LLM models, fine-tuning, prompt engineering, performance optimization, and orchestration tools (Apache Airflow).
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Exceptional communication, leadership, and strategic influencing skills, with expertise communicating complex technical concepts clearly across all stakeholder levels.
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Proven problem-solving excellence and ability to continuously adapt, learn, and integrate evolving AI techniques.
Nice-to-Have Skills:
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Proven ability in infrastructure as code (Terraform) for scalable AI solutions, sophisticated system design, and data governance practices.
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Demonstrable experience in secure and robust AI deployments.
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Deep interest and experience in generative AI, LLM innovation, and continuous professional knowledge-building.
Benefits & conditions
- Extra wellbeing days on top of your annual leave allowance
- Up to 3 paid volunteering days each year
- 24/7 confidential Employee Assistance Programme - wellbeing, mental health, legal & financial support
- Learning & development support via the Frontiers Learning Hub
- A locally relevant benefits package aligned to your country - e.g. healthcare and pension/retirement provision, where applicable
- Collaboration-led, office-first culture - we prioritise in-person teamwork, with role-appropriate adjustments when needed, in line with company policy
- International teams - a diverse, global culture and a strong peer-learning environment