How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Position Overview
We are seeking an Associate AI Engineer to join our Global Analytics team in London. This role focuses on designing, developing, and deploying AI-powered solutions that deliver real business value. You will work on the end-to-end lifecycle of AI applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), conversational AI, and document intelligence solutions.
Working alongside experienced AI engineers and cross-functional teams, you will help build scalable, production-ready AI systems while continuously improving model performance, reliability, and user experience.
Key Responsibilities
- Design, develop, and deploy AI and machine learning solutions for business applications.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and semantic search.
- Develop AI-powered applications and backend services using Python and modern AI frameworks.
- Optimize model inference for performance, scalability, and reliability, with a focus on low-latency applications.
- Develop and maintain APIs and real-time AI services supporting conversational AI, document processing, and intelligent automation.
- Containerize and deploy AI applications using Docker and support cloud-based deployments.
- Write clean, modular, and maintainable Python code following software engineering best practices, including testing and documentation.
- Collaborate with Business Analysts, Product Managers, and engineering teams to translate business requirements into AI solutions.
- Stay current with advancements in Generative AI, Machine Learning, and MLOps, and contribute to continuous improvement initiatives.
Reasons to use Rodeo
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.
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.
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.
Qualifications
Technical Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
- 2–5 years of professional experience in AI, Machine Learning, Data Science, or Software Engineering.
- Strong proficiency in Python and experience building production-quality applications.
- Hands-on experience with Large Language Models (LLMs), prompt engineering, and modern AI frameworks such as Hugging Face Transformers, LangChain, or LlamaIndex.
- Experience building Retrieval-Augmented Generation (RAG) solutions using vector databases, embedding models, and semantic search.
- Familiarity with machine learning frameworks such as PyTorch or TensorFlow.
- Experience developing REST APIs and integrating AI models into production applications.
- Working knowledge of Docker, Linux, Git, and CI/CD practices.
- Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Strong analytical, problem-solving, and communication skills with the ability to work collaboratively in cross-functional teams.
Preferred Qualifications
- Experience deploying AI applications in production environments.
- Familiarity with inference optimization frameworks such as vLLM, Triton Inference Server, or Text Generation Inference (TGI).
- Experience with conversational AI, voice AI, or AI agent frameworks.
- Knowledge of document intelligence technologies, including OCR, layout analysis, and information extraction.
- Experience with Kubernetes or MLOps platforms for model deployment and monitoring.
- Exposure to the insurance or financial services industry.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
We offer in return!
- Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program.
Integrity. client focus. respect. excellence. teamwork
Our core values dictate how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and supportive.
Diversity & Inclusion
At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.
We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.
“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
Skills
Location