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- Tasks: Build and own core backend systems using Python and FastAPI.
- Company: Fast-growing AI startup revolutionising complex workflows with cutting-edge technology.
- Benefits: Up to ÂŁ120k salary, meaningful equity, and team dinners every evening.
- Why this job: Join a small, high-trust team and make an immediate impact on real-world AI solutions.
- Qualifications: 4+ years in software engineering, strong Python skills, and AWS experience.
- Other info: Work in a dynamic environment with clear ownership and rapid production cycles.
The predicted salary is between 72000 - 84000 ÂŁ per year.
G.Digital have partnered with a fast-growing AI startup who is building an AI/ML-driven platform that automates complex, high-volume human workflows end-to-end. The technology doesnât just respond, it understands context, reasons over decisions, and takes real action inside production systems. It operates in real time, at scale, and in environments where reliability and accuracy genuinely matter.
Backed by top-tier investors, the company is scaling fast and tackling problems most AI teams avoid because theyâre technically hard, operationally messy, and business-critical. This is frontier AI applied to the real world, not demos, not experiments, but systems that run every day and have immediate impact.
Why this role?
This is a handsâon senior engineering role at the core of the platform. Youâll build systems that need to be:
- Fast
- Reliable
- Observable
- Safe
Youâll work closely with founders, ship to production quickly, and have real ownership over what gets built.
What youâll be doing
- Building and owning core backend systems in Python
- Designing APIs using FastAPI
- Working on agent orchestration, workflows, and memory layers
- Integrating with realâworld healthcare and scheduling systems
- Improving performance, reliability, and observability
- Shaping engineering standards and technical direction
- Shipping fast in a highâtrust, highâoutput team
What theyâre looking for
- 4+ yearsâ commercial software engineering experience
- Strong Python background with end-to-end ownership
- Production experience with FastAPI (or similar)
- Solid AWS experience
- Comfortable in fastâpaced, ambiguous startup environments
- Productâminded â you care how things are used, not just built
- Strong architectural and problemâsolving skills
- Frontend: React
- Cloud: AWS
The culture
- Small, senior team
- High standards, high trust
- Engineers are expected to think deeply and have opinions
- Ship fast, iterate with customers, raise the bar together
Whatâs on offer
- Up to ÂŁ120,000 base + meaningful equity
- Full-time, 5 days a week onsite in London
- Team dinners every evening
- Clear ownership and real influence
- Your work hits production in days, not months
Senior Software Engineer in London employer: G.Digital
Contact Detail:
G.Digital Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Software Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at startups or in AI. Use platforms like LinkedIn to connect and engage with them. You never know who might have a lead on your dream job!
â¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those using Python and FastAPI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
â¨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Focus on real-world applications, as this role is all about building reliable systems that make an impact. We recommend using platforms like LeetCode or HackerRank.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in the role and the company. Donât forget to tailor your approach to highlight your experience with fast-paced environments and ownership of projects.
We think you need these skills to ace Senior Software Engineer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Software Engineer role. Highlight your Python expertise, FastAPI experience, and any relevant projects that showcase your problem-solving skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about working with AI and how your background aligns with our mission. Share specific examples of your past work that demonstrate your ability to build reliable and fast systems.
Showcase Your Projects: If you've worked on any interesting projects, especially in AI or backend systems, make sure to mention them. We love seeing real-world applications of your skills, so include links to your GitHub or any live demos if possible.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows us youâre keen to join our team!
How to prepare for a job interview at G.Digital
â¨Know Your Tech Inside Out
Make sure youâre well-versed in Python and FastAPI, as these are crucial for the role. Brush up on your knowledge of AWS too, since theyâre looking for someone with solid cloud experience. Be ready to discuss your past projects and how youâve used these technologies to solve real-world problems.
â¨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about complex issues you've faced in previous roles and how you approached them. This is your chance to demonstrate your architectural thinking and problem-solving abilities, so have a few examples ready that highlight your critical thinking.
â¨Understand the Companyâs Mission
Familiarise yourself with the startup's AI/ML-driven platform and its impact on real-world applications. Show genuine interest in their mission and be prepared to discuss how your skills can contribute to their goals. This will help you connect with the interviewers and show that youâre not just looking for any job, but this specific opportunity.
â¨Emphasise Team Collaboration
Since the role involves working closely with founders and a small team, highlight your experience in collaborative environments. Share examples of how youâve successfully worked in high-trust, high-output teams, and how you value feedback and iteration. This will align with their culture and demonstrate that youâre a good fit.
