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Generative AI Engineer

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GenAI Engineer | London | Hybrid
We are currently hiring for a GenAI Engineer to join an enterprise technology environment, working on the design, development and deployment of production-ready Generative AI solutions.
Working Model: Hybrid – office attendance required based on business/project requirements
Duration: 6–12 months
🔹 Key Responsibilities
- Design, develop and deploy Generative AI applications for enterprise use cases
- Build AI agents, copilots, conversational applications and document intelligence solutions
- Develop RAG pipelines using vector search, embeddings and enterprise knowledge sources
- Apply prompt engineering and retrieval optimisation to improve LLM responses
- Integrate GenAI solutions with enterprise systems and APIs
- Develop secure and scalable API layers using REST and related integration patterns
- Contribute to AI architecture, cloud deployment, monitoring and cost optimisation
- Implement LLM evaluation, hallucination detection, guardrails and responsible AI practices
- Support production deployments using Docker, Kubernetes and CI/CD
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.
🔹 Essential Skills & Experience
- 5+ years of software engineering experience, including hands-on AI/LLM/ML delivery
- Strong Python programming skills
- Hands-on experience with Azure OpenAI, AWS Bedrock or equivalent LLM platforms
- Experience building RAG applications and AI agents
- Experience with LangChain, LlamaIndex, Copilot Studio, Azure AI Studio or similar frameworks
- Strong understanding of embeddings, vector search, chunking and retrieval optimisation
- Experience with REST APIs, OData, GraphQL or event-driven architectures
- Experience with Docker, Kubernetes and CI/CD
- Understanding of enterprise security including RBAC, OAuth 2.0, managed identities and data governance


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⭐ Desirable
- Experience integrating GenAI solutions with SAP S/4HANA
- SAP BTP / SAP Integration Suite / SAP AI Core / SAP Joule
- Azure AI Search / OpenSearch / Pinecone
- LangSmith / Azure Monitor / AWS CloudWatch
- Experience with LLM evaluation, guardrails and Responsible AI
“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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