Acuity Analytics
Forward Deployed Engineer

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About the Role
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
We are looking for an experienced Forward Deployed Engineer (FDE) who thrives at the intersection of engineering, product, and customer success. In this role, you will work closely with customers and internal teams to design, integrate, and deploy AI-powered solutions in real-world production environments. You will act as a technical owner from solution design through implementation, ensuring high-impact outcomes and customer satisfaction.


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Requirements
- 8–10 years of professional software engineering experience
- Strong hands-on experience with React.js for building modern, scalable frontend applications.
- Strong backend development experience using Python and Node JS
- Solid understanding of AI/ML concepts, including model lifecycle, inference, and real-world deployment considerations.
- Experience working with AI-powered systems, such as LLMs, ML APIs, or data-driven applications.
- Proven experience in system integration, including REST APIs, webhooks, and external services.
- Experience deploying and supporting applications in production environments.
- Strong problem-solving skills and ability to work in ambiguous, customer-facing scenarios.
- Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Proficiency with version control (e.g., Git) and CI/CD pipelines (e.g., Jenkins, GitHub Actions)
- Familiarity with testing frameworks (unit, integration, e2e) and basic security practices (auth, encryption, compliance)
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