At a Glance
- Tasks: Design and develop cutting-edge AI products from the ground up.
- Company: Exciting early-stage AI startup transforming customer interactions.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Opportunity for significant ownership and career growth in a collaborative team.
- Why this job: Join a fast-paced startup and make a real impact in AI technology.
- Qualifications: 5-10 years of software engineering experience with a focus on AI products.
The predicted salary is between 72000 - 88000 £ per year.
- Staff Software Engineer
- (AI Products) | London | £150,000–£250,000 + Equity
Location
London (5 days onsite)
About the Company
Our client is an early-stage, venture-backed AI startup building next-generation AI-powered products that are transforming how businesses interact with their customers.
Following recent funding, they're looking to hire an exceptional Staff Software Engineer to play a key role in building and scaling their AI platform.
This is an opportunity to join at an early stage, work on cutting-edge AI technology and have significant ownership over product and technical direction.
The Opportunity
We're looking for an experienced software engineer with a strong backend focus who enjoys building products from the ground up.
You will be responsible for designing, developing and shipping production AI products, working across the full stack and partnering directly with customers to solve real-world problems.
This role suits someone who thrives in fast-moving startup environments and enjoys taking ownership from idea through to production.
Responsibilities
- Design, build and ship production AI products end-to-end
- Develop scalable backend services using Python
- Build intelligent AI agents and LLM-powered applications
- Work across the full stack using Python and Type Script
- Develop cloud-native applications using Kubernetes and serverless technologies
- Integrate with third-party APIs and CRM platforms
- Work directly with customers to understand requirements and deliver technical solutions
- Help shape engineering best practices and technical architecture
About You
You'll likely have
- 5–10 years of commercial software engineering experience
- Experience building and shipping production AI products
- Hands-on experience with AI agents or LLM applications
- Experience working within Seed or Series A startups
- Strong cloud infrastructure knowledge
- Experience with Kubernetes and distributed systems
- A customer-first mindset and experience working directly with end users
- Technical Skills
- Python
- Type Script
- Fast API
- Async Open AI
- httpx
- Cloud infrastructure
- Serverless architecture
- AI Agents
- LLM integrations
- Lang Graph
- Lang Chain
- Voice AI platforms
- CRM integrations
- Eleven Labs
- Vapi
- Retell AI
- Redis
- Kafka
- What We’re Looking For
You'll be someone who
- Loves building products from scratch
- Enjoys solving difficult engineering problems
- Has a startup mindset
- Can balance speed with quality
- Takes ownership
- Communicates confidently with both technical and non-technical stakeholders
- This Role May Not Be Right If
- Your background is primarily Machine Learning research or Data Science
- Most of your career has been spent in large enterprise organisations
- You prefer highly structured environments over fast-paced startups
- You haven’t built production AI applications
- #J-18808-Ljbffr
Staff Software Engineer in London employer: Lumina Tech Group
At Lumina Tech Group, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. As a Staff AI Platform Engineer, you will not only have the opportunity to lead impactful projects but also benefit from a vibrant work culture that encourages professional growth and creativity. Join us to be part of an early-stage AI startup where your contributions directly influence our product's success and technical evolution.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer 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 Lumina Tech Group 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 Lumina Tech Group.
✨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 Lumina Tech Group.
✨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 Lumina Tech Group 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 Staff Software 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 Lumina Tech Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lumina Tech Group 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 Lumina Tech Group
✨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 Lumina Tech Group 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.
