Generative AI Scientist at UST, London/Remote, £Contract Option

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

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.