At a Glance
- Tasks: Build and maintain backend services, APIs, and AI integrations.
- Company: Join an innovative tech company at the forefront of AI development.
- Benefits: Earn up to £80,000 with a pension scheme and bonus.
- Other info: Collaborative environment with exciting career growth opportunities.
- Why this job: Shape cutting-edge products and solve real-world problems with AI.
- Qualifications: Strong Python and backend development experience required.
The predicted salary is between 63000 - 77000 £ per year.
BACKEND ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation.
You'll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes.
They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions.
They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to
- Build, scale, and maintain backend services, including APIs, workflow engines, data services, and system integrations.
- Develop and support integrations between Java/Spring platform components and Python-based AI services.
- Design secure, reliable, and high-performance systems.
- Collaborate with cross-functional engineering teams to deliver robust backend solutions for demanding production environments.
- Implement and enhance API architectures, observability frameworks, automated testing, and security best practices.
- Contribute to cloud infrastructure, CI/CD pipelines, and operational excellence across AWS-based environments.
- YOUR SKILLS AND EXPERIENCE
- Strong commercial experience building backend applications.
- Strong Python experience is essential, with Fast API as highly desirable
- Strong SQL and Postgre SQL expertise.
- Hands-on AWS experience, including cloud-native services, CI/CD pipelines, and Linux-based environments.
- Strong knowledge of API design, testing strategies, monitoring, observability, and application security.
- Regular use of AI-assisted development tools such as Cursor, Claude Code, or similar productivity tools.
- Experience with Java/Spring, event-driven architectures, workflow engines and LLM integrations is highly desirable.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
Backend Engineer in London employer: Harnham - Data and Analytics Recruitment
As an AI Automation Lead at this investment-focused organisation in London, you will thrive in a collaborative and innovative environment that prioritises technology and data. The company offers a competitive salary, comprehensive benefits, and the unique opportunity to build impactful AI solutions from the ground up, all while fostering professional growth and cross-functional teamwork.
Contact Details:
Harnham - Data and Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Backend Engineer in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Backend Engineer 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 Harnham - Data and Analytics Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham - Data and Analytics Recruitment 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 Harnham - Data and Analytics Recruitment
✨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 Harnham - Data and Analytics Recruitment 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.