Stealth Startup - AI Engineering
Technical Co-Founder, CTO

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Technical Co-Founder, CTO
We are looking to connect with an exceptional Europe-based Technical Co-Founder / CTO for an early-stage B2B AI engineering software venture.
The project sits at the intersection of enterprise data infrastructure, applied AI, knowledge systems and CAE.
The immediate priority is highly hands-on: you will personally build the first MVP end to end, owning the architecture, coding, deployment and technical delivery before growing the engineering team.
Profile
We are looking for someone with strong experience across several of the following areas:
- Applied AI systems: production-grade LLM applications, RAG, agentic workflows, semantic search, embeddings, evaluation and source-grounded outputs
- Knowledge and data modelling: knowledge graphs, metadata models, ontologies, entity resolution, lineage and relationship-based retrieval
- Data infrastructure: backend architecture, ingestion pipelines, indexing, storage systems, distributed processing and scalable data platforms
- Complex file and data ingestion: extracting structured information from heterogeneous files, documents, logs, technical formats and large datasets
- Enterprise deployment: private cloud, VPC, on-premise or air-gapped environments, containerized deployment, identity and access management, auditability and observability
- Security and data governance: role-based access, permission-aware retrieval, encryption, tenant isolation, source traceability and enterprise-grade security practices
- Zero-to-one execution: building and shipping a serious product or platform from scratch, not only prototypes or research projects
- Hands-on: comfortable personally owning architecture, coding, deployment and technical delivery during the early stage.
- Technical leadership: owning architecture and roadmap, making pragmatic build-versus-buy decisions, and recruiting a strong technical team
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.
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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
Experience with HPC, CAE, CAD, Physics, simulation data, PLM systems or industrial workflows is valuable, but not essential. Evidence of having built and shipped complex systems matters more.


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