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Space Executive

Artificial Intelligence Engineer

London
Posted 1 day ago
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About the job

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


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.

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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
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Skills

Artificial Intelligence
Python
LLMs
Multi-Agent Coordination
Data Integration
Cloud Platforms
AWS
GCP
Azure
Orchestration Tools
Client Engagement
Workflow Automation
Scalable Systems
Production Deployment
Business Problem Solving
AI Systems

Location

London, England, United Kingdom

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