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For Companies At a Glance
- Tasks: Join us to build cutting-edge AI solutions for a major UK bank.
- Company: Be part of a leading financial institution driving AI transformation.
- Benefits: Enjoy hybrid work flexibility and the chance to work with top tech.
- Why this job: Make an impact in the financial sector while enhancing your AI skills.
- Qualifications: Expertise in LLM pipelines, Azure AI stack, and Python required.
- Other info: 6-month contract with immediate start; ideal for tech-savvy innovators.
The predicted salary is between 48000 - 72000 £ per year.
We're supporting a major UK bank on its AI transformation, seeking an experienced AI Engineer to take ownership of building RAG pipelines, document processing workflows, and GenAI services. The strategic direction is set and now it's time to deliver production-ready solutions in a cloud-native Azure environment.
Role Overview
- Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack.
- Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant).
- Ensure seamless integration of GenAI services into business workflows, prioritising security, scalability, and compliance.
- Collaborate with cross-functional teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions.
Key Skills Required
- Expertise in LLM pipelines, embedding models, and vector search architecture.
- Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search).
- Proficient in Python, CI/CD, and MLOps tools (Git, Azure DevOps).
- Experience working in regulated environments, ideally within financial services.
Nice to Have
- Familiarity with PEFT (LoRA, QLoRA), privacy-preserving AI, and secure deployment.
- Experience with PromptOps, cloud security, and deploying LLM solutions in VPC environments.
Contract Details
- Duration: 6 months
- Location: Hybrid (UK-based)
- Start: ASAP
Generative AI Engineer employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as LangChain and LlamaIndex. Having hands-on experience or even personal projects showcasing these technologies can set you apart during discussions.
✨Tip Number 2
Network with professionals in the financial services sector who are working on AI projects. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in Generative AI and cloud-native solutions, especially within Azure. Being able to discuss recent advancements or case studies can demonstrate your passion and knowledge during interviews.
✨Tip Number 4
Prepare to discuss your experience in regulated environments, particularly in financial services. Be ready to share examples of how you've ensured compliance and security in your previous projects.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Generative AI Engineer position. Make sure you understand the key responsibilities and required skills, especially around RAG pipelines, Azure AI stack, and compliance in financial services.
Tailor Your CV: Customise your CV to highlight relevant experience with LLM pipelines, embedding models, and your proficiency in Python and Azure tools. Use specific examples from your past work that demonstrate your ability to build and optimise workflows.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Emphasise your hands-on experience in regulated environments and your collaborative work with cross-functional teams.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any spelling or grammatical errors and ensure that all technical terms are used correctly. A polished application reflects your attention to detail.
How to prepare for a job interview at twentyAI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with LLM pipelines, embedding models, and vector search architecture. Highlight specific projects where you've developed RAG pipelines or worked with the Azure AI stack, as this will demonstrate your hands-on expertise.
✨Understand the Financial Services Context
Since the role is within a major UK bank, it's crucial to understand the unique challenges and regulations of the financial services sector. Familiarise yourself with compliance issues and how they relate to AI deployment in this environment.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, especially with cross-functional teams. Think of examples where you've successfully worked with data scientists, architects, or engineers to deliver high-performance solutions.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you approach problem-solving in AI projects. Prepare to share specific instances where you've optimised workflows or integrated GenAI services into business processes, focusing on security and scalability.
