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GenAI / LLM Engineer

England
£450 – £550/day
Posted about 14 hours ago
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GenAI / LLM Engineer – 2 month contract – Fully Remote - £450-£550 per day – Outside IR35

GenAI / LLM Engineer to support the delivery of a production-grade Generative AI solution within a regulated financial services environment.

This is a hands-on engineering role focused on LLM pipelines, RAG, document processing and agentic AI, using AWS technologies including Amazon Bedrock and OpenSearch.

Candidates must have experience taking GenAI solutions beyond proof-of-concept and into real production environments.

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

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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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Strong

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Essential Experience

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  • Strong hands-on experience delivering production GenAI/LLM solutions, rather than purely prototypes or POCs.
  • RAG architecture for complex, document-heavy applications.
  • Amazon Bedrock or significant equivalent managed LLM platform experience.
  • Amazon OpenSearch, including vector search, k-NN and hybrid retrieval.
  • Strong Python development skills.
  • Experience with LangChain, LlamaIndex, LangGraph, CrewAI or similar frameworks.
  • Document processing technologies such as Amazon Textract, PyPDF or Unstructured.io.
  • Designing multi-agent or tool-use architectures.
  • GenAI evaluation, hallucination detection, validation and confidence-scoring techniques.
  • Experience delivering technology within financial services or another highly regulated environment.
  • Understanding of PII, sensitive data handling, audit trails and information security requirements.
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Skills

Generative AI
Large Language Models
RAG Architecture
Amazon Bedrock
Amazon OpenSearch
Python
LangChain
LlamaIndex
LangGraph
CrewAI
Amazon Textract
Agentic AI
Vector Search
Document Processing
Hallucination Detection
Financial Services Compliance

Location

England, United Kingdom

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