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Spait Infotech

Gen AI Engineer

United Kingdom
Posted about 17 hours ago
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Key Responsibilities

  • Develop and integrate Generative AI/LLM applications.
  • Build RAG pipelines using embeddings, vector databases, and document processing.
  • Work with models such as GPT, Claude, Gemini, Llama, or similar LLMs.
  • Develop effective prompt engineering strategies and evaluate model outputs.
  • Build AI agents and tool-calling workflows.
  • Develop APIs and backend services using Python/FastAPI or similar frameworks.
  • Work with vector databases such as Pinecone, FAISS, Weaviate, or Chroma.
  • Implement model evaluation, monitoring, security, and optimization.
  • Collaborate with data scientists, software engineers, and product teams.
  • Deploy AI solutions using cloud platforms such as AWS, Azure, or GCP.

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.

P

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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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.

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

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.

Required Skills

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  • Strong Python programming.
  • Good understanding of Machine Learning, NLP, and Deep Learning.
  • Experience with LLMs, RAG, embeddings, and prompt engineering.
  • Knowledge of frameworks such as LangChain, LlamaIndex, or similar.
  • Experience with REST APIs and Git.
  • Understanding of databases and vector databases.
  • Familiarity with Docker and cloud deployment.
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“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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Skills

Python
Generative AI
Large Language Models
RAG
Prompt Engineering
LangChain
LlamaIndex
FastAPI
Vector Databases
NLP
Deep Learning
Docker
Cloud Deployment
REST APIs
Git
Machine Learning

Location

United Kingdom

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