Stealth iT Consulting
GenAI Full Stack Engineer (SC Eligible)

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Job Opportunity: Python/GenAI Full Stack Consultant
My client is a global leading Digital Consultancy specialising in Cloud Adoption, Digital Architecture/Transformation & NextGen AI Solutions, providing fully remote working with ad hoc client site travel (fully expensed).
They are looking for a Python/GenAI Full Stack Consultants (Junior-Mid / Senior / Technical Lead) to join a rapidly growing team, building cutting-edge digital solutions, primarily within Government, Finance, Retail & Energy sectors.
Budget:
Consultant:
- up to £55k
- 10% pension
- 25 days annual leave (additional 5 bull/sell days available)
- flexi working (option of remote or hybrid + ad hoc client site travel)
Senior Consultant:
- up to £70k
- disc bonus
- 10% pension
- 25 days annual leave (additional 5 bull/sell days available)
- flexi working (option of remote or hybrid + ad hoc client site travel)
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.
Managing Consultant (Technical Lead):
- up to £88k
- disc bonus
- 10% pension
- 25 days annual leave (additional 5 bull/sell days available)
- flexi working (option of remote or hybrid + ad hoc client site travel)
Primary Requirements:
- Must be eligible for SC Clearance
Backend Development:
- Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent
Frontend Development:
- Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.
GenAI Frameworks:
- Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript).


Get help with your application
Your very own career expert that helps elevate your application to the next level.
LLM Experience:
- Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama.
Cloud Platforms:
- Proficiency in AWS or Azure for hosting and deployment.
Containerization and Orchestration:
- Hands-on experience with Docker, Kubernetes, and Docker Compose.
Infrastructure as Code (IaC):
- Exposure to tools like Terraform.
Monitoring Tools:
- Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.
CI/CD:
- Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.
Note: Must be eligible for SC Clearance and please note, visa sponsorship is not available.
“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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