Generative AI Scientist – Agent‑Based Systems

UST; Greater London; Hybrid; GBP 100,000 - 140,000; Part time

Job summary

UST is seeking a Generative AI Scientist to design and deliver agent-based, AI-enabled solutions for complex enterprise environments. This hands-on role focuses on production-grade AI systems with scalable, secure outcomes and close collaboration with engineering teams and business stakeholders.

You will build multi-agent orchestration, develop LLM-enabled applications, and deploy on AWS, implementing robust testing, observability, and guardrails while contributing reusable patterns to UST's AI

Qualifications

• Hands-on delivery of Generative AI / LLM-based applications.
• Experience with agent frameworks (e.g. LangChain, LlamaIndex, or similar).
• Experience deploying production systems in AWS environments.

Responsibilities

• Design and develop multi-agent orchestration workflows (supervisor / sub-agent patterns).
• Integrate AI workflows into client systems via secure APIs.
• Design effective prompting strategies and context management; implement structured outputs and safety guardrails.
• Build and optimise retrieval-augmented generation (RAG) pipelines.
• Develop Python-based backend services (APIs, integrations, orchestration layers).
• Apply strong engineering discipline across testing, observability, and error handling.

Skills

Agent frameworks

APIs & microservices

AWS deployment

Python

LLM & AI

RAG pipelines

Tools

LangChain

LlamaIndex

AWS

Job description

Generative AI Scientist - Agent-Based Systems

London (hybrid)

Contract (Inside IR35) or Fixed-Term Employment

The Opportunity at UST

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.

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)
• Integrate AI workflows into client systems via secure, well-designed APIs

Develop LLM-Enabled Applications

• Design effective prompting strategies and context management
• Implement structured outputs, validation, and safety guardrails, aligned to responsible AI principles
• 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
• 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:

• Hands-on delivery of Generative AI / LLM-based applications
• Experience with:
• Agent frameworks (e.g. LangChain, LlamaIndex, or similar)
• 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