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- Tasks: Design and engineer AI-driven systems that solve real-world business challenges.
- Company: High-growth FinTech company focused on innovative, data-driven products.
- Benefits: Flexible hybrid working, competitive salary, equity, and generous holiday allowance.
- Why this job: Join a dynamic team and make a tangible impact with cutting-edge AI technology.
- Qualifications: 5+ years in software engineering, experience with AI applications preferred.
- Other info: Inclusive culture that values diverse perspectives and promotes continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth, FinTech company is building intelligent, data-driven products to support businesses and consumers at scale across the UK and US. The organisation operates cloud-native platforms used by a large and diverse customer base and is continuing to invest heavily in AI-enabled capabilities across its core products.
This role sits within a product-led engineering team focused on applying AI and Generative AI to real-world business problems. You’ll work on large-scale systems where impact is measured by outcomes, not output.
You will:
- Design and engineer large-scale, production-grade systems (5+ years’ experience)
- Focus on business impact rather than lines of code
- Embrace DevOps culture: you build it, you run it
- Work effectively in cross-functional, autonomous teams
- Mentor other engineers and help raise the bar across the team
- Prefer simple, pragmatic solutions over unnecessary complexity
- Stay effective and organised in fast-moving, ambiguous environments
- Think broadly about how technical decisions affect the wider business
- Leverage Generative AI tools to improve productivity and decision-making
Nice-to-Have Skills:
- Experience building AI or LLM-powered applications
- Knowledge of NLP or intelligent document processing
- Familiarity with vector databases (e.g. Pinecone, Weaviate)
- Experience with search platforms (e.g. OpenSearch, Elasticsearch)
- Exposure to agentic workflows or orchestration frameworks
- Aware of MCP (Model Context Protocol)
The team is pragmatic and cloud-native. Current tooling includes:
- Languages: Python, TypeScript
- Testing: Jest, React Testing Library, Cypress, pytest
- Cloud: AWS, GCP
- Infrastructure: Docker, ECS Fargate, Terraform
- CI/CD: GitHub Actions
Collaborate: Pair programming and mission-driven squads
Outcome-focused: Solve real user problems tied to business results
Continuously improve: Fast feedback, learning-first mindset
User-centric: Decisions driven by data and direct user insight
Test-first: Outside-in testing with behaviour-focused scenarios
End-to-end ownership: Lead features from idea to production
Cloud-native: Automation-first, security by design
You’ll be part of an inclusive engineering culture that values:
- Diverse perspectives and open discussion
- Psychological safety and trust
- Teams that are engaged, motivated, and genuinely enjoy working together
What’s on Offer:
- Hybrid working: Flexible, trust-based approach with optional in-person collaboration
- Work–life balance: 25 days holiday + bank holidays, enhanced family leave
- Compensation: Competitive salary plus equity
- Equipment: High-spec laptop (macOS or Ubuntu)
- Socials: Regular team and company events
- Benefits: Cycle-to-work scheme and EV support
Software Engineer - GenAI in London employer: Atarus
Contact Detail:
Atarus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - GenAI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI or Generative AI. This is your chance to demonstrate how you can solve real-world problems, just like the role requires.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Don’t forget to brush up on your knowledge of cloud-native platforms and DevOps culture, as these are key to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Software Engineer - GenAI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your experience with AI, cloud-native platforms, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our product-led engineering team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Projects: If you've worked on any AI or LLM-powered applications, make sure to include them in your application. We’re interested in seeing real-world examples of your work and how you’ve tackled complex problems. Don’t be shy about sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Atarus
✨Know Your Tech Stack
Make sure you’re familiar with the languages and tools mentioned in the job description, like Python and TypeScript. Brush up on your knowledge of cloud platforms like AWS and GCP, as well as DevOps practices. Being able to discuss how you've used these technologies in past projects will show that you're a great fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world business problems using AI or Generative AI. Think about specific outcomes you've achieved rather than just the code you wrote. This will demonstrate your focus on business impact, which is key for this role.
✨Embrace Collaboration
Since the team values cross-functional collaboration, be ready to discuss your experience working in diverse teams. Share examples of how you've mentored others or contributed to a team’s success. Highlighting your ability to work autonomously while still being a team player will resonate well.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and how they measure success. Inquire about their DevOps culture and how they ensure psychological safety within teams. This shows your genuine interest in the role and helps you assess if the company aligns with your values.