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 Lang.

Graph, Lang. Chain, Llama. Index, CrewAI, Auto. Gen, 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