Senior AI Engineer
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Role details
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Job description
We are seeking a Senior AI Engineer to join a growing team focused on delivering cutting-edge Artificial Intelligence solutions across a range of business-critical projects. This role offers the opportunity to work on advanced AI initiatives, including Generative AI, Large Language Models (LLMs), Machine Learning, and AI-driven automation, helping to shape the organisation’s AI strategy and capabilities.
As a senior member of the team, you will take ownership of end-to-end AI solutions, collaborate with stakeholders across the business, and provide technical leadership on complex AI projects.
Key Responsibilities
- Design, develop, deploy, and optimise AI and Machine Learning solutions for production environments.
- Build and implement Generative AI and Large Language Model (LLM) applications.
- Develop scalable AI architectures and integrate AI solutions into existing systems and workflows.
- Work closely with business stakeholders to understand requirements and translate them into technical solutions.
- Lead the full AI lifecycle, from data preparation and model development through to deployment, monitoring, and continuous improvement.
- Evaluate emerging AI technologies and recommend best practices for adoption.
- Mentor and support junior AI engineers, providing technical guidance and leadership.
- Collaborate with cross-functional teams including Data Science, Engineering, Product, and Business stakeholders.
Requirements
- Minimum 5 years’ commercial experience as an AI Engineer, developing and deploying AI solutions within production environments.
- Strong hands-on experience with Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
- Proven experience building AI-powered applications and services that deliver measurable business value.
- Experience working across the full AI development lifecycle.
- Strong programming skills in Python and experience with modern AI frameworks and libraries.
- Experience deploying AI solutions within cloud environments such as Azure, AWS, or Google Cloud Platform (GCP).
- Solid understanding of MLOps, model monitoring, and AI governance best practices.
- Demonstrated ability to lead technical projects and influence AI strategy.
- Experience mentoring engineers and contributing to the development of high-performing technical teams.
Desired Experience
- Experience with Retrieval-Augmented Generation (RAG) architectures.
- Knowledge of vector databases and AI orchestration frameworks.
- Experience fine-tuning and deploying Large Language Models.
- Exposure to AI agents, multi-agent systems, and advanced Generative AI use cases.
- Experience working in enterprise-scale environments., * A technically strong Senior AI Engineer with at least 5 years of industry experience in AI Engineering.
- Someone capable of leading complex AI initiatives while remaining hands-on with development and deployment.
- A strong communicator who can engage with both technical and non-technical stakeholders.
- A proactive individual who is passionate about advancing AI capabilities and driving innovation.
Benefits & conditions
- Opportunity to work on large-scale AI and Generative AI initiatives.
- Exposure to the latest developments in Machine Learning and LLM technologies.
- Collaborative and innovative working environment.
- Clear career progression and leadership opportunities.
- Competitive salary and benefits package.
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