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Gazelle Global

AI Engineer ( Building solutions with Github Copilot / Claude Code Experience)

London
Posted about 23 hours ago
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About the Company

We are seeking a highly skilled AI Engineer with hands-on experience in building AI-powered software solutions using GitHub Copilot, Claude Code, and modern Large Language Models (LLMs). The ideal candidate will leverage AI-assisted development tools to accelerate software delivery, automate engineering workflows, and build intelligent applications utilizing agentic AI frameworks, code generation, and enterprise AI platforms. The candidate should possess strong software engineering fundamentals along with expertise in integrating AI models into real-world applications and driving developer productivity through AI-assisted coding solutions.

Your Responsibilities

  • Design, develop, and deploy AI-powered applications using LLMs and Generative AI technologies.
  • Build engineering solutions leveraging GitHub Copilot, Claude Code, OpenAI, Azure OpenAI, Anthropic Claude, and related AI platforms.
  • Develop AI agents, copilots, and workflow automation solutions for enterprise use cases.
  • Create retrieval-augmented generation (RAG) solutions using vector databases and knowledge repositories.
  • Design and implement prompt engineering frameworks and evaluation mechanisms.
  • Integrate AI services with enterprise applications using APIs, microservices, and cloud-native architectures.
  • Build automated coding assistants, developer productivity tools, and intelligent software engineering workflows.
  • Collaborate with business and technical stakeholders to identify AI-driven opportunities and translate them into scalable solutions.
  • Establish best practices for AI governance, security, model monitoring, and responsible AI implementation.
  • Mentor development teams on effective usage of AI-assisted development tools.

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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AI & Generative AI

  • Strong experience with Large Language Models (LLMs) and Generative AI.
  • Hands-on experience with:
    • GitHub Copilot
    • Claude Code
    • OpenAI GPT Models
    • Azure OpenAI Services
    • Anthropic Claude APIs
  • Prompt Engineering and Prompt Optimization.
  • Agentic AI frameworks such as:
    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
    • Semantic Kernel

Software Development

  • Strong programming expertise in:
    • Python
    • JavaScript/TypeScript
    • C# or Java
  • Experience building RESTful APIs and microservices.
  • Knowledge of software design patterns and scalable application architecture.

AI Application Development

  • Retrieval-Augmented Generation (RAG)
  • Vector databases:
    • Pinecone
    • ChromaDB
    • Weaviate
    • Azure AI Search
  • Embedding models and semantic search.
  • Model evaluation and observability.
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Skills

Large Language Models
GitHub Copilot
Claude Code
Prompt Engineering
LangChain
Python
JavaScript
TypeScript
RAG
Vector Databases
Azure OpenAI
Microservices
Agentic AI
API Integration
Software Architecture
Model Evaluation

Location

London, England, United Kingdom

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