At a Glance
- Tasks: Design and deliver AI-powered solutions, integrating AI into business applications.
- Company: Join a forward-thinking tech company prioritising AI innovation.
- Benefits: Enjoy hybrid working, generous leave, health benefits, and learning opportunities.
- Other info: Collaborate with talented teams and shape the future of enterprise AI.
- Why this job: Make a real impact by building production-grade AI solutions that drive business success.
- Qualifications: Experience in backend engineering, Azure, Python, and API integration required.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for a hands-on Senior AI Integration Engineer with strong Python, Azure and API integration experience who has successfully deployed AI-powered solutions into secure, scalable production environments. The ideal candidate will combine excellent backend engineering expertise with a track record of integrating AI services into business applications, managing cloud deployments and driving solutions from concept through to operational support.
The Role
- As a Senior AI Integration Engineer, you'll take ownership of end-to-end AI solutions, designing, building and deploying applications that are robust, reliable and ready for production.
- You'll develop backend services, orchestrate APIs and integrate AI capabilities into business applications and operational workflows.
- Working within Azure cloud environments, you'll ensure solutions are secure, scalable and supported by strong monitoring, performance optimisation and operational processes.
- This is a hands-on engineering role suited to someone who enjoys solving complex integration challenges, taking ownership of delivery and building solutions that make a tangible difference.
- You'll collaborate closely with architects, product teams and AI specialists while helping to raise engineering standards and support the development of more junior colleagues.
What You'll Be Doing
- Designing and delivering end-to-end AI-powered solutions from concept through to production support.
- Building scalable backend services and API integrations that enable enterprise-grade AI applications.
- Managing Azure-based deployments with a focus on security, reliability and performance.
- Implementing monitoring, observability, error handling and operational support practices.
- Embedding responsible AI principles, governance and controls into every stage of delivery.
- Collaborating with cross-functional teams to drive successful project outcomes and continuous improvement.
- Supporting and mentoring engineers while contributing to engineering best practices.
What We're Looking For
- Strong experience in backend software engineering and systems integration.
- Hands-on expertise with Microsoft Azure and cloud-based application deployment.
- Experience integrating AI, machine learning or data-driven services into production environments.
- Strong knowledge of APIs, microservices and application architecture.
- Proficiency with Python and SQL.
- Experience with production operations, monitoring, troubleshooting and support.
- Excellent stakeholder engagement and communication skills.
- A pragmatic, delivery-focused mindset with a passion for solving real business problems through technology.
Why Apply?
You'll join an ambitious and innovative environment where AI is a strategic priority, giving you the opportunity to work on high-profile initiatives with genuine business impact. You'll have the freedom to experiment, the support to grow your expertise and the chance to help shape the future of enterprise AI adoption while working alongside talented engineers and technology leaders.
If you're passionate about building production-grade AI solutions and want to be part of a team turning emerging technologies into measurable outcomes, we'd love to hear from you.
Benefits
- Hybrid and flexible working.
- 27 days' annual leave, with the option to purchase additional days.
- Health, lifestyle and wellbeing benefits.
- Financial wellbeing tools and support.
- Electric car scheme.
- Access to a virtual GP.
- Access to a large suite of on-demand learning and development courses.
This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents, automation workflows and Python services that have a direct impact on business operations.
AI Integration Engineer in City of London employer: Hays Technology
Join a forward-thinking company that prioritises AI innovation and offers a dynamic work environment where your contributions will have a significant impact on business operations. With a strong focus on employee growth, you will benefit from hybrid working options, extensive learning opportunities, and a supportive culture that encourages collaboration and mentorship. This role not only allows you to work on cutting-edge AI solutions but also provides a platform for you to develop your skills and advance your career in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integration Engineer in City of 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 Integration Engineer in City of 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.
