Space Executive
Artificial Intelligence Engineer
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About the company
Enterprise software is moving past dashboards and copilots. Our client believes the future belongs to Digital Workers: autonomous AI agents that carry out complex, multi-step business processes from start to finish, not just suggest the next step.
They’ve built a platform that lets large organizations create, launch and govern AI agents that handle analytics, decision-making and operational work at enterprise scale. It’s already live with global customers across pharmaceuticals, life sciences and technology, where Digital Workers are reshaping how teams operate day to day.
The company has raised over $50M from top-tier venture investors, with backing from high-profile fintech founders. The team is deeply technical, made up of AI researchers, engineers and scientists, with close to one in five holding a PhD.
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The Opportunity
They’re looking for an AI Engineer to design, build and ship production AI systems and Digital Workers for some of the world’s largest enterprises. This is a forward-deployed role: you’ll work side by side with global customers, unpicking messy real-world processes and turning them into dependable, scalable agentic solutions that bring together models, data and enterprise infrastructure.
What you’ll be doing
- Working directly with enterprise customers to understand how their teams operate and designing agentic workflows built around their specific needs
- Engineering resilient, scalable AI systems that put the latest model and agent capabilities to work in live environments
- Taking full ownership of AI products from early concept and prototyping through to production rollout and measurable business outcomes
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What you’ll bring
- Hands-on experience shipping production AI systems built on LLMs, RAG pipelines, MCP and agentic architectures
- Comfort operating in a customer-facing, forward-deployed capacity, partnering with both engineering teams and senior business stakeholders
- A strong delivery mindset and the ability to break down complex business problems into scalable technical solutions
- Evidence of applied AI work that has driven clear, quantifiable impact
Tech environment
You’ll work across LLMs, multi-agent orchestration, retrieval and reasoning, and enterprise data integration, building software that takes action rather than generating static output. The core stack is Python, modern LLM and orchestration frameworks, and cloud platforms including AWS, GCP and Azure.
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