Burns Sheehan
Senior Software Engineer

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Senior Software Engineer – Consumer AI (Stealth Mode)
Remote
Up to £650 per day
.Net Core and Azure | Open to any strong OO language experience (Java, Kotlin, Go)
We’re working with an early-stage, VC-backed startup building a new AI-first consumer product in the shopping space. The business is currently in stealth, but has already raised a significant pre-seed round from leading US and European investors, with backing from angels who have helped build some of the most successful consumer fintech and AI companies of the last decade.
The product is designed to help households make better purchasing decisions using AI, trusted recommendations from real people, and private social networks. They are starting with a highly emotional, high-spend consumer moment and are already supporting thousands of early users ahead of a wider launch.
This is a rare chance to join a 5-person founding team at ground zero, working directly with experienced founders who have previously built and scaled consumer products to major valuations and top app store positions.
The Role
They are looking for a Senior Software Engineer to help build the backend foundations of a breakout consumer AI product. You’ll be joining at a critical stage as the company moves from beta towards launch, so this role will suit someone who enjoys 0-1 product engineering, fast learning cycles, technical ownership and close exposure to real customers.
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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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.
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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.
This is not a narrow delivery role. You’ll be expected to shape features, challenge assumptions, work with customer data, use the product yourself, and help the team learn quickly what drives meaningful customer impact.
What You’ll Be Doing
- Building scalable backend services for a consumer-facing AI product.
- Taking ownership of large, complex features from concept through to deployment.
- Making technical and architectural decisions in a fast-moving 0-1 environment.
- Working closely with the founders to shape experiments, product direction and learning cycles.
- Building new ways for individuals, households and trusted networks to interact with AI.
- Using customer insight and product data to guide what gets built next.
- Helping shape engineering culture, technical standards and ways of working from the earliest stage.
What They’re Looking For
- Strong backend engineering experience, ideally with C# but other OO languages like, Java, Go or Kotlin would be fine.
- Experience building scalable services in a product-led environment.
- Hands-on experience with AI tools or AI-enabled product development.
- Strong Azure experience, ideally including Azure cloud services, Azure DevOps and Azure Container Apps.
- Good experience with SQL, Redis and modern backend architecture.
- Experience with CI/CD, Docker and automated testing.
- A DevOps mindset and comfort working across the full path from build to deploy.
- Previous experience in startups, 0-1 product work, personal projects or highly ambiguous product environments.
- A strong bias towards customer impact, learning fast and building things that solve real user problems.


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Bonus Experience
- Infrastructure-as-code experience with Bicep or similar tools.
- Experience integrating AI services such as ChatGPT, Gemini, Semantic Kernel or similar.
- Knowledge of real-time communication protocols, ideally SignalR.
- Experience working on consumer products, marketplace products, social products or AI-native applications.
Why This Is Interesting
This is an opportunity to join a tiny, high-calibre team at the earliest stage of a very ambitious consumer AI product.
You’ll be working directly with experienced founders, building in a space where there is no obvious playbook, and helping define both the product and the technical foundations from day one.
The culture is fast-paced, customer-obsessed and experimental. The team cares deeply about learning quickly, testing assumptions, using AI properly, and building something genuinely useful and joyful for consumers.
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