Dex
Applied AI Engineer (up to £180k)
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The Role
This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested sign up to Dex to apply.
Dex
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
About the Company
This company automates complex document processing and natural-language data retrieval for enterprise customers. Their platform operates in highly sensitive financial environments, where SOC 2, ISO 27001, and GDPR are non-negotiable. They recently secured a significant Series A round, backed by leading investors, to aggressively expand their AI product surface.
The Position
This is an Applied AI Engineer seat, reporting directly to the founders. You will own the development and deployment of AI-powered features — RAG systems, multi-agent infrastructure, and evaluation frameworks — into a regulated enterprise platform. This is not a research role. The bar is shipping production AI, not prototyping in a notebook. You will also build the backend services, APIs, and data pipelines that power these systems, ensuring scalability and security from day one.
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Responsibilities
- Develop and deploy production-grade AI features: RAG systems, multi-agent architectures, and robust evaluation frameworks.
- Design and implement the backend services and APIs that power these AI systems.
- Build scalable data pipelines for AI model training, evaluation, and continuous improvement.
- Ensure end-to-end scalability, performance, and security across the entire AI stack.
- Mentor junior engineers, contributing to team growth and best practices.
Requirements
- 5+ years shipping production software, with at least 2 years focused on applied AI systems.
- Proven experience deploying AI applications in production, including RAG pipelines, agent orchestration, and performance monitoring.
- Deep understanding of LLM evaluation techniques for accuracy, reliability, and safety.
- Strong backend engineering in Python (Django/FastAPI a plus) and solid relational database fundamentals.
- Hands-on experience with cloud infrastructure, Docker, Kubernetes, CI/CD, and high-throughput background processing (e.g., Redis queues).
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Why Apply Through Dex
This is a rare Applied AI role, directly impacting product strategy at a well-funded company. Roles like this are often oversubscribed or hidden. Dex helps you cut through the noise: sign up once, get a full brief on this specific opportunity, and skip the cold application process. We match you to roles that genuinely fit, saving you time and effort in a competitive market.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/728d1aed-f082-4860-916f-91bb1625bbca
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