UST
Senior Generative AI Scientist – Agentic AI & Multi-Agent Systems
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
?%
Senior Generative AI Scientist – Agentic AI & Multi-Agent Systems
London (Hybrid, 3 days onsite)
Contract (Inside IR35) or Fixed-Term Employment
UST is seeking a hands-on Senior Generative AI Scientist to design, build, and deploy production-grade AI solutions that solve real business problems. You will work with engineering teams, AI specialists, and business stakeholders to deliver scalable agentic AI systems, multi-agent workflows, and enterprise GenAI applications.
The Role
- Design and develop multi-agent AI systems and orchestration workflows
- Build production-ready LLM applications and AI-powered automation solutions
- Develop and optimise RAG pipelines, retrieval architectures, and vector search solutions
- Build Python-based APIs, microservices, and orchestration services
- Design asynchronous, event-driven workflows and integrations
- Implement AI guardrails, evaluation frameworks, observability, and monitoring
- Deploy and operate cloud-native AI solutions on AWS
- Contribute reusable frameworks, patterns, and accelerators across UST's AI practice
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.
What You Will Bring
- Strong commercial experience in Python backend engineering
- Hands-on experience delivering production Generative AI and LLM applications
- Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar
- Experience designing multi-agent or agentic AI workflows
- Strong experience with:
- Retrieval-Augmented Generation (RAG)
- Vector databases and embeddings
- Search and indexing systems
- Experience building APIs, microservices, and asynchronous workflows
- Experience with cloud-native development and deployment on AWS
- Strong understanding of software engineering best practices, including testing, observability, reliability, and CI/CD
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Experience
- Production-scale AI platform delivery
- Event-driven architectures (Kafka, Celery, AWS Step Functions, or similar)
- AI evaluation, monitoring, and safety frameworks
- Regulated industry experience (Financial Services, Healthcare, Insurance, Public Sector)
- MLOps and AI platform engineering experience
What We're Looking For
We're looking for engineers who can take AI solutions from concept to production. The ideal candidate has built enterprise-grade LLM applications, understands agentic AI architectures beyond simple chatbots, and combines strong engineering fundamentals with practical delivery experience in complex environments.
Hurry & apply! #UST
“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
Location