Generative AI Scientist (Lead II - ML Engineering)

Role: Generative AI ScientistPermanent / Fixed term contract/ Contract Inside IR35Contract Length: Initial 6-12 months with possible extensionsStart Date: Immediate preferredLocation Requirement:Onsite (3 days per week in the office and 2 days remote )Applicants legally authorized to work in the United Kingdom without the need for current or future visa sponsorship preferredExperience: Minimum10-15 yearsWe 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.You’ll work closely with UST’s engineering teams, AI specialists, and business stakeholders to translate high‑value use cases into robust solutions. What You’ll Be Doing:Build Agent‑Based AI SystemsDesign and develop multi‑agent orchestration workflows (supervisor / sub‑agent patterns)Implement multi‑step, asynchronous pipelines to solve complex enterprise problemsIntegrate AI workflows into client systems via secure, well‑designed APIsDevelop LLM‑Enabled ApplicationsDeliver end‑to‑end LLM‑powered features in production environmentsDesign effective prompting strategies and context managementImplement structured outputs, validation, and safety guardrails, aligned to responsible AI principlesDesign Retrieval & Data Pipelines (RAG)Build and optimise retrieval‑augmented generation (RAG) pipelinesWork with: *Vector search and similarity retrieval *Search and indexing systems *Embeddings and content storage *Caching strategies for performance and scalabilityBackend & Platform EngineeringDevelop Python‑based backend services (APIs, integrations, orchestration layers)Apply strong engineering discipline across testing, observability, and error handlingContribute to reusable assets and patterns within UST’s AI ecosystemCloud‑Native Delivery (AWS)Deploy and operate scalable solutions on AWSEnsure best practices across:Security and IAMReliability and performanceCI/CD and environment management What We’re Looking For:Strong experience in Python backend engineeringHands‑on delivery of Generative AI / LLM‑based applicationsExperience with: Agent frameworks (e.g. LangChain, LlamaIndex, or similar) Retrieval‑based systems (RAG, vector databases, embeddings) APIs, microservices, and asynchronous workflowsExperience deploying production systems in AWS environments Nice to Have:Experience with multi‑agent architecturesExposure to productionising AI systems at scaleKnowledge of data pipelines, search infrastructure, and platform engineeringIf interested, please apply for an immediate discussion with Talent partner#UST