16 часов назад
Graduate AI Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Graduate AI Engineer (GenAI/Python): Building and deploying AI solutions for an autonomous lending platform with an accent on LLMs, RAG, and modern software engineering. Focus on designing agent workflows, developing backend services, and iterating on AI-driven product features.
Location: Hybrid (Milton Keynes Office, UK)
Company
is a fast-growing UK fintech focused on providing financial services to established SMEs.
What you will do
- Build AI-powered applications using Large Language Models (LLMs) and modern AI frameworks.
- Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
- Experiment with prompt engineering and agent workflows to improve AI capabilities.
- Build backend services and APIs that power AI applications.
- Contribute to frontend applications using React.js.
- Rapidly prototype and iterate AI features based on customer feedback and real-world usage.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, ML, Software Engineering, or Mathematics.
- Strong programming skills in Python.
- Solid understanding of Machine Learning fundamentals and the AI development lifecycle.
- Experience building AI/ML or Generative AI projects via academic work, internships, or personal projects.
- Familiarity with LLMs, RAG, and vector databases.
- Understanding of software engineering basics, including Git and testing.
Nice to have
- Experience with LangChain, LangGraph, or LlamaIndex.
- Knowledge of OpenAI, Anthropic, or Gemini APIs.
- Experience building web apps with React.js, Next.js, or TypeScript.
- Backend development experience in Java or Kotlin.
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
Culture & Benefits
- Flexible and hybrid working options.
- Full onboarding support and continued development opportunities.
- Private health cover and life assurance.
- Pension contributions and a discretionary bonus scheme.
- Family-friendly policies, including enhanced Maternity & Paternity leave.
- Regular social activities.
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