Stealth iT Consulting
GenAI Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
GenAI Engineer
GenAI Full Stack Engineer – Senior Consultant & Managing Consultant
Location: Hybrid / Flexible working across the UK Salary: £45,000 – £70,000 per annum (DoE/Grade) Clearance: SC-level UK clearance required, plus 5 years of UK residency and valid work rights.
We are hiring for multiple GenAI Full Stack Engineers with a leading IT consultancy to play a pivotal role in building cutting-edge GenAI full-stack applications.
Key Responsibilities
- Collaborate with the wider team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents.
- Scale existing POCs into production-ready solutions for customer deployment.
- Design and develop full-stack applications, supporting both GenAI and non-GenAI projects.
- Support infrastructure development to enable end-to-end robust solutions.
- Explore and experiment with emerging GenAI technologies to expand technical expertise.
- Coach and mentor team members, fostering skill growth within the team.
Reasons to use Rodeo
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.
It 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.
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.
Core Technical Requirements
Backend Development
- Experience building microservices using:
- Python + FastAPI
- TypeScript + Express (or equivalent)
Frontend Development
- Proficiency in React with TypeScript, including:
- Next.js
- Vite
GenAI & LLM Expertise
- Familiarity with GenAI frameworks, including:
- LangChain
- LangGraph
- CrewAI
- Vercel AI (Python/JS)
- Practical experience with Large Language Models (LLMs) from:
- OpenAI
- Anthropic
- Mistral
- Llama
- Ability to deploy and manage tooling such as Ollama
Cloud & Infrastructure
- Strong proficiency in AWS or Azure for hosting and deployment.
- Hands-on experience with:
- Docker, Kubernetes, and Docker Compose
- Infrastructure as Code (IaC) tools, e.g., Terraform
- Knowledge of LLM monitoring tools like:
- LangSmith
- Langfuse (or equivalent)
Get help with your application
Your very own career expert that helps elevate your application to the next level.
CI/CD & DevOps
- Experience with CI/CD pipelines using:
- GitLab
- GitHub CI/CD
- Jenkins
Database & Storage
- Vector Databases (experience with any of):
- ChromaDB, Pinecone, PGVector, MongoDB, Qdrant
- NoSQL:
- Preference for MongoDB
- SQL:
- Experience with PostgreSQL
Version Control & Collaboration
- Proficiency in Git and platforms:
- GitHub
- GitLab
For further details about this role, please reach out.
“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
Skills
Location