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
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
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
AI Governance, Design Thinking, Product Design, Stakeholder Management, Generative AI, Solutioning
Senior Generative AI Scientist – Agentic AI & Multi-Agent Systems (Lead II - ML Engineering) in London employer: UST
As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.
