At a Glance
- Tasks: Design and deliver cutting-edge agent-based AI solutions for complex enterprise environments.
- Company: Join UST, a tech leader transforming lives through responsible AI and deep engineering expertise.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth in a dynamic environment.
- Other info: Collaborate with talented teams and enjoy excellent career advancement opportunities.
- Why this job: Make a real-world impact by building scalable AI systems that solve complex problems.
- Qualifications: Strong Python skills and experience with Generative AI applications are essential.
The predicted salary is between 63000 - 77000 £ per year.
Generative AI Scientist – Agent‑Based Systems
London (4 days onsite) 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)
- 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
Skills: Generative AI, AI Governance, Solutioning, Compliance Management, Prompt Engineering, Stakeholder Management
Senior Agentic AI Engineer / AI Architect - multi-agent AI systems_Contracts Inside IR35 employer: UST
As a Principal Data Engineer at our company, you will thrive in a dynamic and innovative work culture that prioritises technical excellence and continuous learning. With opportunities for mentorship and collaboration across diverse teams, you will play a pivotal role in shaping the future of our cloud-scale data platform while enjoying the flexibility of a hybrid work environment in Nottingham or London. We are committed to fostering your professional growth and providing a supportive atmosphere where your contributions directly impact our success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Agentic AI Engineer / AI Architect - multi-agent AI systems_Contracts Inside IR35
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at UST who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at UST!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at UST to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Senior Agentic AI Engineer / AI Architect - multi-agent AI systems_Contracts Inside IR35
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at UST!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Senior Agentic AI Engineer / AI Architect - multi-agent AI systems_Contracts Inside IR35 at UST! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at UST
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that UST uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at UST that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest UST, so it's relevant and sparks conversation during your interview.
