Artificial intelligence engineer

Senior AI Software Engineer

Agentic AI | Enterprise Deployment

Disruptive European AI Consulting Firm

📍Fully Remote

💰£90k - £160k - depending on experience

We're partnering with a profitable, fast-growing AI consultancy helping some of Europe's largest enterprises move AI from experimentation into production.

This business specialises in solving the difficult engineering challenges that emerge when AI becomes business-critical. Their work spans agentic systems, governance, observability, evaluation frameworks, security, monitoring and enterprise-scale deployment.

Founded by seriously impressive and well-networked leaders from top-tier consulting and transformation backgrounds, the business sits at the intersection of strategy, product and engineering, helping major financial services and insurance organisations deploy AI safely and effectively in complex real-world environments.

As demand continues to accelerate, they are looking to hire Senior AI Software Engineers who understand what happens after the demo works.

The Opportunity

This role is ideal for engineers who have already built and deployed production-grade AI systems and want to work on some of the most technically challenging problems in enterprise AI.

You'll be designing and building agentic systems, multi-agent architectures and AI-powered products used by large organisations, while helping establish the engineering standards required to operate these systems safely and reliably at scale.

What You'll Be Doing

• Designing and building production-grade AI applications powered by large language models
• Developing agentic systems, tool-calling frameworks and multi-agent workflows
• Building scalable backend services using modern Python and cloud-native technologies
• Designing evaluation frameworks and testing harnesses to measure AI quality and reliability
• Implementing observability, monitoring and tracing across AI systems
• Managing challenges such as hallucinations, prompt injection, latency and model drift
• Building secure, reliable deployment pipelines for enterprise environments
• Working directly with clients and stakeholders to deliver high-impact AI solutions

Experience Required:

• Production deployment of LLM-powered applications
• Multi-agent systems, orchestration frameworks and tool use
• Evaluation harnesses, benchmarking and AI quality measurement
• Langfuse, Braintrust or similar observability and evaluation platforms
• Prompt engineering, structured outputs and context management
• Python development and modern backend engineering practices
• Cloud infrastructure, containerisation and CI/CD
• Monitoring, debugging and operating AI systems in production environments

Why Join?

The AI industry is entering a new phase. The challenge is no longer whether AI models can generate impressive outputs; it's whether organisations can deploy them safely, reliably and at scale.

This business is operating at the centre of that transition, helping major enterprises solve challenges around governance, security, evaluation, monitoring and agentic AI deployment.

For ambitious engineers, this is an opportunity to work on some of the most important problems in enterprise AI today, alongside a highly technical team, within a profitable organisation experiencing significant demand and growth.