Generative AI Scientist (Lead II - ML Engineering)

Role Description Role: Generative AI Scientist Permanent / Fixed term contract/ Contract Inside IR35 Contract Length: Initial 6-12 months with possible extensions Start Date: Immediate preferred Location 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 preferred Experience: Minimum10-15 years 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. 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 Systems • Design and develop multi‑agent orchestration workflows (supervisor / sub‑agent patterns) • Implement multi‑step, asynchronous pipelines to solve complex enterprise problems • Integrate AI workflows into client systems via secure, well‑designed APIs Develop LLM‑Enabled Applications • Deliver end‑to‑end LLM‑powered features in production environments • Design effective prompting strategies and context management • Implement structured outputs, validation, and safety guardrails, aligned to responsible AI principles Design Retrieval & Data Pipelines (RAG) • Build and optimise retrieval‑augmented generation (RAG) pipelines • Work with: • Vector search and similarity retrieval • Search and indexing systems • Embeddings and content storage • Caching strategies for performance and scalability Backend & Platform Engineering • Develop Python‑based backend services (APIs, integrations, orchestration layers) • Apply strong engineering discipline across testing, observability, and error handling • Contribute to reusable assets and patterns within UST’s AI ecosystem Cloud‑Native Delivery (AWS) • Deploy and operate scalable solutions on AWS • Ensure best practices across: • Security and IAM • Reliability and performance • CI/CD and environment management What We’re Looking For • Strong experience in Python backend engineering • Hands‑on delivery of Generative AI / LLM‑based applications • Experience with: Agent frameworks (e.g. LangChain, LlamaIndex, or similar) Retrieval‑based systems (RAG, vector databases, embeddings) APIs, microservices, and asynchronous workflows • Experience deploying production systems in AWS environments Nice To Have • Experience with multi‑agent architectures • Exposure to productionising AI systems at scale • Knowledge of data pipelines, search infrastructure, and platform engineering If interested , please apply for an immediate discussion with Talent partner #UST Skills Python, Generative AI, RAG, Microservices, Vector Databases, AWS, LangChain, LlamaIndex