weframe
Software Engineer Intern

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About weframe
weframe builds custom AI/tech systems for business owners who know AI matters but haven't figured out where to start. We come from inside a fast-scaling tech company where we built AI systems that drove millions in revenue and replaced entire manual workflows. We know what works, what doesn't, and what it costs when nobody asks the right questions first.
Our delivery is hands-on and outcome-driven. We don't consult - we build. You'll be joining a small team where the quality of your work is visible immediately.
The Role
You'll embed directly into client engagements and build. Not scope and hand off, you will do the building. You'll report directly to our technical co-founder and work on live projects with real clients.
This is a contractor role. We care about what you can do today, not your trajectory. If your output is strong, there will be more work.
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.
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.
What You'll Do


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- Embed with client teams to understand their workflows, systems, and real problems - not just their stated requirements
- Scope and build AI-powered solutions tailored to each client's specific context, data, and constraints
- Work hands-on across the stack: LLM integration, prompt engineering, evaluation pipelines, APIs, and data plumbing
- Make pragmatic architectural decisions that balance speed of delivery with maintainability
- Iterate based on client feedback - shipped software is the start of the work, not the end
- Monitor and maintain deployed systems post-launch; debug issues in client environments
- Work directly with the technical co-founder on delivery decisions
What We're Looking For
- Strong software engineering fundamentals - you write code that works and that others can follow
- Highly fluent with AI-assisted development: Claude Code, Cursor, Codex, or equivalent - you use these tools to ship faster without sacrificing quality
- Comfortable with ambiguity - you can walk into a messy problem without a spec and figure out what to build
- Experienced with LLM integration and prompt engineering in production environments, not just prototypes
- Strong communicator - you can explain a technical trade-off to a non-technical client without losing them
- Proactive in client settings - you ask the right questions early and dig below surface-level requests to find the real problem
- Security-aware - you treat compliance and secure-by-design as part of delivery, not an afterthought
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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