Artificial Intelligence Engineer

Space Executive; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Space Executive is recruiting an AI Engineer to build and deploy enterprise-grade AI systems and digital workers in production. You’ll partner with global organisations to untangle complex workflows and translate them into reliable, scalable agentic systems, integrating models, data, and infrastructure for real-world use.

The role spans LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration.

Qualifications

• Experience building production-grade AI systems for enterprise use.
• Experience working with clients and cross-functional teams.
• Ability to translate complex business problems into scalable AI solutions.

Responsibilities

• Partner with leading enterprises to design tailored agentic workflows.
• Implement robust, scalable AI systems leveraging latest advancements.
• Own end-to-end delivery of high-impact AI products from concept to production.

Skills

LLMs

RAG pipelines

Client-facing

AI systems design

Job description

The next wave of enterprise software won't be dashboards or copilots. It will be Digital Workers, autonomous AI systems capable of executing complex workflows end-to-end. We are building the platform that enables enterprises to deploy these Digital Workers safely and at scale.

Our Digital Worker Factory allows organisations to design, deploy, and manage AI agents that automate decision-making, analytics, and operational workflows across the enterprise. These systems are already being used by global companies including Johnson & Johnson, Syneos Health and Cisco to transform how work gets done.

Backed by $50M+ in funding from leading venture capital firms, and supported by visionary investors including the CEO of Revolut, we are scaling rapidly. Our team includes leading AI researchers, engineers, and scientists, almost 20% with PhDs.

The Role

We're hiring an AI Engineer to build and deploy enterprise-grade AI systems and digital workers in production. You'll work closely with global organisations, embedding with clients to untangle complex workflows and translate them into reliable, scalable agentic systems, integrating models, data, and enterprise infrastructure into solutions that operate in real-world environments.

Job requirements

We're looking for engineers who want to apply advanced AI to meaningful business problems. You'll contribute to systems spanning LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs.

Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure.

What you'll bring:

• Proven hands-on experience building production-grade solutions using LLMs, RAG pipelines, MCPs, and agentic workflows
• A forward-deployed, client-first mindset, with experience working directly with both technical teams and business stakeholders
• Strong delivery capabilities, with the ability to translate complex business problems into scalable AI systems
• A track record of delivering measurable impact through applied AI

What you'll do:

• Partner with leading enterprises to understand their needs and design tailored agentic workflows
• Implement robust, scalable systems leveraging the latest advancements in AI
• Own the end-to-end delivery of high-impact AI products, from concept through to production deployment