At a Glance
- Tasks: Design and scale backend services using Python and Go for AI applications.
- Company: Fast-growing tech start-up with a global presence and innovative products.
- Benefits: Comprehensive benefits, professional development, visa sponsorship, and relocation support.
- Other info: Collaborative London-based team with opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and create impactful AI solutions that drive real-world change.
- Qualifications: 3+ years in software engineering, strong Python or Go skills, and experience with LLM applications.
The predicted salary is between 63000 - 77000 £ per year.
The company is a well-funded, high-growth technology start-up with a global presence and an established product generating revenue in production.
Responsibilities:
- Work with technical and non-technical stakeholders to understand problems, gather requirements, and identify opportunities for AI.
- Design, build, and scale backend services using Python, with opportunities to work in Go.
- Develop and deploy production-grade AI applications, agent workflows, and LLM integrations.
- Translate ambiguous business requirements into practical, scalable technical solutions.
- Build and improve APIs, asynchronous processing systems, and data pipelines.
- Work on agent orchestration, retrieval systems, and AI infrastructure.
- Own solutions from initial discovery and prototyping through deployment, iteration, and production.
- Measure the impact of solutions and continuously improve them based on feedback and real-world usage.
- Independently design and deliver AI solutions that create measurable value.
Requirements:
- 3+ years of commercial software engineering experience.
- Strong backend engineering experience with Python, ideally Django, or Go and willingness to work extensively in Python.
- Hands-on experience building and deploying LLM-powered applications or agentic AI systems into production.
- Strong engineering fundamentals across APIs, SQL, system design, and performance.
- Experience owning technical solutions from initial problem discovery through production.
- Comfortable working directly with non-technical stakeholders and translating their challenges into engineering solutions.
- Experience in a start-up or fast-paced product engineering environment.
- Product and commercial mindset, with interest in understanding the measurable impact of the work.
- Excellent communication skills, strong ownership, and ability to work independently in ambiguous environments.
Additional Information:
- Comprehensive benefits and professional development support.
- Visa sponsorship and relocation support available.
- London-based engineering team, working predominantly in person.
backend developer in production AI in London employer: NDA
At the NDA, we pride ourselves on fostering a diverse and inclusive work environment where every employee is valued and empowered to excel. With flexible working arrangements and a commitment to professional development, our Senior Legal Counsel role offers a unique opportunity to engage in meaningful legal work while collaborating with a dedicated team across various locations, including West Cumbria and London. Join us to contribute to impactful projects that support our mission and enjoy a workplace culture that prioritises respect, openness, and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land backend developer in production AI 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 NDA 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 NDA.
✨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 NDA.
✨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 NDA 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 backend developer in production AI 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 NDA.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NDA 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 NDA
✨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 NDA 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.
