At a Glance
- Tasks: Join a cutting-edge AI company to architect intelligent multi-agent systems and secure LLM integrations.
- Company: Innovative AI software firm focused on advanced agentic AI solutions.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Dynamic environment with opportunities for growth and collaboration in London.
- Why this job: Tackle complex challenges in next-gen AI while making a real impact in regulated industries.
- Qualifications: Experience in multi-agent orchestration, AI memory systems, and production-grade Python engineering.
We are currently supporting a cutting-edge AI software company building advanced agentic AI and memory systems for enterprise clients operating within highly regulated environments. They’re looking for an AI Engineer to join on a subcontractor basis, helping architect intelligent multi-agent systems, memory write-back pipelines, and secure LLM integrations at scale.
Tech Stack:
- Python/FastAPI
- LLMs & Agentic AI
- MCP Integrations
- GraphRAG
- Async Architectures
- Multi-Agent Systems
- Knowledge Graphs
- Streaming & Observability
Key Experience:
- Multi-agent orchestration in production
- AI memory systems & write-back design
- GraphRAG & retrieval architectures
- MCP server integrations
- Secure enterprise AI deployments
- Agent guardrails & access control
- Production-grade Python engineering
Bonus Experience:
- LLM evaluation frameworks
- Entity resolution & deduplication
- Bitemporal data modelling
- Streaming trace capture
- Multi-tenant AI platforms
- Formal/neuro-symbolic reasoning
- Regulated industries (Finance, Pharma, Defence)
Great opportunity for an experienced AI Engineer who enjoys solving complex orchestration, memory, and reasoning challenges within next-generation AI/LLM environments.
AI Engineer in London employer: Uneek Global
Join a pioneering AI software company that champions innovation and collaboration in the heart of London. With a hybrid work model, you will enjoy the flexibility of working 2-3 days onsite while being part of a dynamic team dedicated to developing advanced agentic AI solutions for enterprise clients. The company fosters a culture of continuous learning and growth, offering ample opportunities to enhance your skills in cutting-edge technologies and contribute to impactful projects in highly regulated industries.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who work with LLMs or agentic AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to multi-agent systems and Python engineering. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI memory systems and secure deployments. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities for AI Engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with multi-agent systems and Python engineering. We want to see how your skills align with the tech stack mentioned in the job description, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background fits the role. We love seeing enthusiasm for agentic AI and memory systems, so let that passion come through.
Showcase Relevant Projects:If you've worked on any projects involving LLMs or secure enterprise AI deployments, make sure to mention them. We’re keen to see real-world applications of your skills, especially in regulated environments like finance or pharma.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Uneek Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, and LLMs. Brush up on your knowledge of multi-agent systems and memory write-back design, as these will likely come up during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your experience with AI memory systems and secure enterprise AI deployments. Be ready to discuss how you've tackled challenges in production-grade Python engineering and multi-agent orchestration.
✨Understand the Industry
Familiarise yourself with the regulated environments the company operates in, such as finance or pharma. This will show that you understand the complexities involved and can navigate the challenges that come with deploying AI solutions in these sectors.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future direction. Inquire about their approach to agent guardrails and access control, or how they handle LLM evaluation frameworks. This not only shows your interest but also your understanding of the role's requirements.
