At a Glance
- Tasks: Design and develop cutting-edge AI applications for the financial services sector.
- Company: Join a leading tech firm with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, remote work flexibility, and opportunities for professional growth.
- Other info: Work in a dynamic team with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and make a real impact in finance.
- Qualifications: Experience in AI development, particularly with Large Language Models and cloud-native applications.
The predicted salary is between 63000 - 77000 £ per year.
My clients are looking for an AI Application Developer who can join their team on a 6-month contract basis. The role is remote working with the occasional travel into the office in London. The rate is £450 per day inside IR35. Someone with a banking background is key for this role.
My clients are seeking an experienced AI Application Developer to design, build and deploy next-generation Agentic AI and Generative AI solutions for a large-scale financial services client. This role will focus on developing intelligent, context-aware applications that leverage Large Language Models (LLMs), AI agents and orchestration frameworks to deliver enhanced automation, decision-making and user experiences. Working as part of a high-performing engineering team, you will be responsible for developing AI-driven workflows, integrating diverse data sources, and building scalable cloud-native applications that combine modern AI capabilities with enterprise-grade software engineering practices.
Key Responsibilities
- Design, develop and deploy Agentic AI and Generative AI applications using modern LLM technologies.
- Build AI agent ecosystems leveraging frameworks such as LangChain, LangGraph and CrewAI.
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines to improve application accuracy, relevance and contextual awareness.
- Create advanced prompt engineering strategies and integrate Model Context Protocol (MCP) capabilities.
- Develop intelligent workflow solutions including context-aware and ambient intelligence applications.
- Integrate and process data from multiple internal and external sources.
- Design and implement event-detection algorithms and real-time intelligence capabilities.
- Build scalable backend services and APIs supporting AI-powered applications.
- Develop modern user interfaces and web applications to support AI-driven solutions.
- Collaborate with architects, product teams and stakeholders to define technical solutions and delivery roadmaps.
- Ensure solutions are deployed using enterprise-grade CI/CD and cloud-native engineering practices.
Required Skills & Experience
- AI / Generative AI
- Strong experience designing and deploying Agentic AI and Generative AI solutions.
- Hands-on experience with Large Language Models (LLMs) and AI orchestration frameworks.
- Expertise in LangChain, LangGraph, CrewAI or similar agent frameworks.
- Strong understanding of RAG architectures, vector databases and contextual retrieval strategies.
- Experience implementing advanced prompt engineering techniques.
- Knowledge of Model Context Protocol (MCP) integrations.
- Experience with Transformer architectures and the Hugging Face ecosystem.
- Software Development
- Strong backend development experience in one or more of: Java, Python, Node.js.
- Front-end development experience using: React, TypeScript.
- Cloud & DevOps
- Experience deploying containerised applications using: Kubernetes, OpenShift.
- Strong understanding of cloud-native architecture principles.
- Experience working with CI/CD tools including: GitHub Actions, Jenkins, Tekton.
- Data & Integration
- Experience developing multi-source data ingestion pipelines.
- Understanding of event-driven architectures and intelligent automation solutions.
- Ability to integrate structured and unstructured data sources into AI-powered applications.
Desirable Skills
- Experience delivering AI solutions within highly regulated environments.
- Financial Services or Banking sector experience.
- Knowledge of enterprise integration patterns and event-streaming technologies.
- Experience working in Agile delivery teams.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. Due to the high number of calls, please refrain from calling into the office. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
AI Application Developer in London employer: Hays Technology
Join a dynamic technology team as an Application Engineer/Web Developer, where innovation meets collaboration in a fast-paced environment. Enjoy flexible working arrangements and an industry-leading benefits package, including a generous bonus and pension scheme, while contributing to the development of high-quality digital platforms. With ample opportunities for professional growth and a culture that promotes knowledge sharing and best practices, this role is perfect for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Developer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Hays Technology or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Hays Technology.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Hays Technology.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Hays Technology that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Application Developer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Hays Technology.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hays Technology and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Hays Technology
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Hays Technology uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
