Senior Generative AI Scientist – Agentic AI & Multi-Agent Systems (Lead II - ML Engineering)

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