Artificial Intelligence Engineer in London

Artificial Intelligence Engineer in London

London Full-Time 60000 - 70000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build next-gen AI systems and design workflows for a digital assistant processing millions of queries.
  • Company: Join a leading financial services organisation at the forefront of AI innovation.
  • Benefits: Competitive pay up to £700 per day, flexible contract work, and opportunities for growth.
  • Why this job: Make a real impact in AI while working with cutting-edge technologies and talented teams.
  • Qualifications: Strong Python skills, experience with microservices, and a focus on production systems.
  • Other info: Collaborative environment with excellent career advancement opportunities.

The predicted salary is between 60000 - 70000 £ per year.

AI Connect are partnering with a leading financial services organisation to help them hire an AI Engineer to work on next-generation agentic AI systems. This role sits at the intersection of software engineering and applied AI building production-grade, observable, and scalable agent-based systems.

You will focus on designing and delivering agentic workflows, robust evaluation frameworks, and real-world AI services for a digital assistant that processes millions of queries daily.

What You Will Do:

  • Build and evolve agentic AI systems using frameworks such as LangGraph, focusing on orchestration, state management, and multi-step reasoning.
  • Design and implement evaluation frameworks for LLM-powered systems.
  • Implement observability and monitoring for agentic workflows using tools like Langfuse, ensuring traceability, reliability, and performance insight.
  • Develop production-grade microservices using Python, FastAPI, and modern software engineering practices.
  • Integrate LLM-powered services with internal APIs, tools, and data sources to enable real-world decision-making and automation.
  • Work closely with product, platform, and engineering teams to take agentic solutions from concept through to production.
  • Contribute to architectural decisions around scalability, reliability, and system design for AI-powered services.

Key Skills & Experience:

  • Strong experience as a Software Engineer or AI Engineer, with a clear focus on production systems rather than research.
  • Excellent Python engineering skills, including experience building APIs and services with FastAPI (or similar frameworks).
  • Solid understanding of microservices architecture, RESTful APIs, and distributed systems.
  • Hands-on experience with LangGraph for building agentic workflows (this is a key requirement).
  • Experience designing or working with LLM evaluation frameworks, testing strategies, and quality measurement.
  • Experience implementing observability for LLM systems, ideally using Langfuse or similar tooling.
  • Comfortable working in cloud environments (AWS experience is highly desirable).
  • Strong communication skills and the ability to collaborate with cross-functional teams.

Artificial Intelligence Engineer in London employer: AI Connect | Data & AI Delivery Partner

AI Connect is an exceptional employer, offering a dynamic work environment where innovation thrives at the intersection of technology and finance. With a focus on employee growth, we provide opportunities to work on cutting-edge AI systems while fostering a collaborative culture that values diverse perspectives. Located in a vibrant area, our team enjoys not only competitive compensation but also the chance to contribute to impactful projects that shape the future of digital assistance.
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Contact Detail:

AI Connect | Data & AI Delivery Partner Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Artificial Intelligence Engineer in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems and Python. This gives you a chance to demonstrate your expertise beyond just words on a CV.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions related to AI and software engineering. Practice coding challenges and be ready to discuss your past projects in detail—this is where we can really shine!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at AI Connect.

We think you need these skills to ace Artificial Intelligence Engineer in London

Python
FastAPI
Microservices Architecture
RESTful APIs
Distributed Systems
LangGraph
LLM Evaluation Frameworks
Observability
Cloud Environments (AWS)
Software Engineering
Cross-Functional Collaboration
System Design
Scalability
Reliability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, FastAPI, and any work you've done with LangGraph. We want to see how your skills match what we're looking for!

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 makes you a great fit for building agentic AI systems. Let us know what excites you about this opportunity!

Showcase Relevant Projects: If you've worked on projects that involve LLM evaluation frameworks or microservices architecture, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Let's get started!

How to prepare for a job interview at AI Connect | Data & AI Delivery Partner

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and FastAPI. Brush up on your experience with LangGraph and be ready to discuss how you've used it to build agentic workflows.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled challenges in previous projects. Highlight your experience with designing evaluation frameworks and implementing observability for AI systems, as these are crucial for the role.

✨Communicate Clearly and Collaboratively

Since this role involves working closely with cross-functional teams, practice articulating your thoughts clearly. Be ready to discuss how you’ve collaborated with product and engineering teams to bring AI solutions from concept to production.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s approach to AI and their expectations for the role. This shows your genuine interest and helps you gauge if the company is the right fit for you.

Artificial Intelligence Engineer in London
AI Connect | Data & AI Delivery Partner
Location: London

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