Artificial Intelligence Engineer

AI Engineer – Legal Innovation

Total Package: Competitive salary with strong progression and exposure to cutting-edge AI work

Benefits: Pension, Healthcare, Bonus, Gym, Canteen, Hybrid Word (2/3 days onsite) Annual Voucher, Time and Attendance Bonus, Opportunities for Progression, Annual Reviews, Income Protection

Questions? Call Cormac Spencer on 01 845 4651

Why Apply?

This is an opportunity to work on high-impact AI solutions in a well-resourced and stable environment. You will gain exposure to complex, real-world challenges while working with modern technologies in a collaborative, forward-thinking team.

The role offers strong ownership, visibility and the chance to develop deep expertise in a rapidly evolving area of applied AI.

Our Client

Our client, is a leading professional services organisation investing heavily in legal innovation and advanced technology. As part of its continued growth, the firm has established a specialist Legal Innovation team focused on developing practical AI-driven solutions to support lawyers and clients.

This is a unique opportunity for an AI Engineer to work in a highly specialised environment, applying natural language processing (NLP) and modern AI techniques to complex legal problems.

The role sits at the intersection of law and technology, delivering high-impact solutions used in real client work.

The Role

The AI Engineer will act as the technical lead within the Legal Innovation team, responsible for building and deploying AI-powered solutions focused on legal document analysis. Working closely with Innovation Lawyers, you will translate requirements into robust, scalable systems that meet the high standards required in a legal environment.

This is a hands-on role focused on applied NLP, large language models and end-to-end system development, rather than general software engineering.

Key Responsibilities

• Design and build document processing pipelines, transforming complex legal documents into structured, usable data.
• Develop NLP-driven solutions including summarisation, classification, comparison and information extraction.
• Work with large language models, including prompt design, API integration, output structuring and performance optimisation.
• Build and deploy user-facing tools and applications for internal and client use.
• Design evaluation frameworks to measure accuracy and ensure reliability of AI outputs.
• Develop data models and databases to support scalable and auditable AI workflows.
• Integrate AI solutions with internal systems, including document management and collaboration platforms.
• Ensure all solutions meet strict data security, confidentiality and compliance standards.
• Continuously refine and improve systems based on user feedback and evolving requirements.

The Person

This role will suit a technically strong AI Engineer with a focus on applied NLP and real-world problem solving. You will be comfortable working in a specialised domain and collaborating closely with non-technical stakeholders.

You will combine strong technical capability with a practical mindset, focusing on building reliable, usable solutions rather than purely theoretical models.

Skills & Experience

• Strong proficiency in Python, with experience building data pipelines and applications.
• Proven experience in applied NLP, including tasks such as classification, summarisation and information extraction.
• Hands-on experience working with large language models, including prompt engineering and API integration.
• Solid understanding of modern language model architectures and their practical applications.
• Experience designing and managing data pipelines, including handling unstructured data.
• Familiarity with retrieval-augmented generation (RAG) and related architectures.
• Experience with evaluation frameworks and performance benchmarking of AI systems.
• Strong version control experience (e.g. Git) and collaborative development practices.
• Ability to work closely with non-technical stakeholders and translate requirements into technical solutions.

Additional Experience (Desirable)

• Experience with document processing (PDF parsing, OCR, structured extraction).
• Exposure to advanced NLP techniques beyond LLMs.
• Experience with AI frameworks and multi-step workflows.
• Familiarity with cloud platforms, particularly Microsoft Azure.
• Experience building dashboards or visualisation tools.
• Evidence of deeper engagement in AI/ML (research, open-source or technical writing).

If this role sounds like you, Call Cormac on 01 845 4651

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