Staff AI Engineer - LLMs & Agentic Systems

Dex; United Kingdom; On-site; GBP 120,000 - 180,000; Full time

Job summary

Dex is partnering with a company building a global tax automation platform and needs a Staff AI Engineer to shape how LLMs and agentic systems are applied across the product. You will own end-to-end AI initiatives, from prototyping intelligent workflows to building natural language interfaces.

Expect to define the AI strategy, design production-grade backends, and drive robust evaluation pipelines within a regulated domain. This is a leadership role with broad impact across the product.

Qualifications

• 5+ years building customer-facing products with end-to-end ownership in a high-quality software environment.
• Deep, hands-on experience with LLMs, prompt engineering, and agent frameworks, including production experience with RAG architectures.
• Proven ability to design and implement evaluation pipelines for AI models.

Responsibilities

• Define the AI strategy and roadmap, identifying high-leverage applications for LLMs and agentic systems across the product.
• Design and build backend services for AI workflows, from initial prototypes to production-ready systems.
• Develop and optimise prompt engineering strategies for complex tax compliance scenarios.
• Build robust evaluation pipelines to ensure model accuracy, safety, and reliability in a regulated domain.
• Architect and implement internal and customer-facing agent platforms.

Skills

LLMs

Prompt engineering

Agent frameworks

RAG architectures

End-to-end ownership

Job description

Dex is partnering with a company building a global tax automation platform and needs a Staff AI Engineer to shape how LLMs and agentic systems are applied across the product. You will own end-to-end AI initiatives, from prototyping intelligent workflows to building natural language interfaces.

Expect to define the AI strategy, design production-grade backends, and drive robust evaluation pipelines within a regulated domain. This is a leadership role with broad impact across the product.