Generative AI Scientist

Role Description<br>Generative AI Scientist – Agent‑Based Systems<br>Role Description<br>London (3 days onsite)<br>Contract (Inside IR35) or Fixed‑Term Employment<br>The Opportunity at UST<br>At UST, we transform lives through the power of technology, combining deep engineering expertise, responsible AI, and an empathy‑first mindset to deliver meaningful, real‑world impact.<br>We are seeking a Generative AI Scientist to design and deliver agent‑based, AI‑enabled solutions integrated into complex enterprise environments. This is a hands‑on engineering role, focused on building production‑grade AI systems that move beyond experimentation into scalable, secure, and measurable outcomes for our clients.<br>You’ll work closely with UST’s engineering teams, AI specialists, and business stakeholders to translate high‑value use cases into robust solutions.<br>What You’ll Be Doing<br>Build Agent‑Based AI Systems<br>Design and develop multi‑agent orchestration workflows (supervisor / sub‑agent patterns)<br>Implement multi‑step, asynchronous pipelines to solve complex enterprise problems<br>Integrate AI workflows into client systems via secure, well‑designed APIs<br>Develop LLM‑Enabled Applications<br>Deliver end‑to‑end LLM‑powered features in production environments<br>Design effective prompting strategies and context management<br>Implement structured outputs, validation, and safety guardrails, aligned to responsible AI principles<br>Design Retrieval & Data Pipelines (RAG)<br>Build and optimise retrieval‑augmented generation (RAG) pipelines<br>Work with:<br>Vector search and similarity retrieval<br>Search and indexing systems<br>Embeddings and content storage<br>Caching strategies for performance and scalability<br>Backend & Platform Engineering<br>Develop Python‑based backend services (APIs, integrations, orchestration layers)<br>Apply strong engineering discipline across testing, observability, and error handling<br>Contribute to reusable assets and patterns within UST’s AI ecosystem<br>Cloud‑Native Delivery (AWS)<br>Deploy and operate scalable solutions on AWS<br>Ensure best practices across:<br>Security and IAM<br>Reliability and performance<br>CI/CD and environment management<br>What We’re Looking For<br>Strong experience in Python backend engineering<br>Hands‑on delivery of Generative AI / LLM‑based applications<br>Experience with:<br>Agent frameworks (e.g. LangChain, LlamaIndex, or similar)<br>Retrieval‑based systems (RAG, vector databases, embeddings)<br>APIs, microservices, and asynchronous workflows<br>Experience deploying production systems in AWS environments<br>Nice To Have<br>Experience with multi‑agent architectures<br>Exposure to productionising AI systems at scale<br>Knowledge of data pipelines, search infrastructure, and platform engineering<br>Hurry & apply for a more detailed conversation!<br>#UST<br>Skills<br>solution architecture, ai solution architecture, orchestration frameworks, market scanning<br>#J-18808-Ljbffr Salary: GBP 70000 - 90000 per year

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