Adroit People Limited (UK)
Artificial Intelligence Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Greetings
We are Hiring Senior AI Engineer in Bristol, UK
6 Months contract
Hybrid Model
2 days onsite
Senior AI Engineer
Role Overview
We are seeking a highly skilled Senior AI Engineer to design, build, and scale next-generation AI applications leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and cloud-native architectures. The ideal candidate will possess strong software engineering expertise, hands-on experience with AI orchestration frameworks, and a proven ability to take AI products from prototype through production deployment.
As a Senior AI Engineer, you will work closely with product teams, architects, data engineers, and business stakeholders to deliver scalable, secure, and production-ready AI solutions that drive business value.
Key Responsibilities
AI Solution Development
- Design and develop enterprise-grade AI applications leveraging LLMs and Generative AI technologies.
- Build and deploy Agentic AI workflows using frameworks such as LangChain, LangGraph, and LlamaIndex.
- Design and implement Retrieval-Augmented Generation (RAG) architectures for knowledge-driven AI solutions.
- Develop intelligent agents capable of tool calling, memory management, reasoning, and workflow orchestration.
- Integrate AI services with enterprise systems through RESTful APIs and microservices.
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.
Software Engineering & Platform Development
- Develop scalable backend services using Python and asynchronous programming patterns.
- Design reusable AI components, SDKs, and services to accelerate solution delivery.
- Implement robust APIs with authentication, authorization, monitoring, and logging capabilities.
- Ensure software quality through unit testing, integration testing, and CI/CD pipelines.
AI Infrastructure & Cloud Engineering
- Deploy and manage AI applications using Docker and Kubernetes.
- Build cloud-native AI solutions on AWS, Azure, or Google Cloud Platform.
- Optimize model serving, inference performance, scalability, and cost efficiency.
- Implement observability, monitoring, and reliability practices for AI workloads.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Vector Search & Knowledge Systems
- Design and optimize vector database solutions using Pinecone, Qdrant, Chroma, or similar technologies.
- Develop embedding pipelines, document indexing strategies, and semantic search capabilities.
- Implement data retrieval, ranking, and contextual grounding mechanisms to improve AI response quality.
Leadership & Stakeholder Collaboration
- Lead technical discussions, architecture reviews, and solution design workshops.
- Mentor junior engineers and contribute to AI engineering best practices.
- Collaborate with cross-functional teams to transform business requirements into scalable AI solutions.
- Drive end-to-end delivery from proof of concept through production rollout and operational support.
“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