At a Glance
- 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 work, competitive salary, 25 days holiday, and equity options.
- Other info: Inclusive culture that values diverse perspectives and promotes continuous learning.
- 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.
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
- Awareness 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 - AI employer: Atarus
Join a dynamic and innovative AI company that is at the forefront of computer vision technology, where your contributions as an Infrastructure Engineer will directly impact the development of cutting-edge products. With a strong emphasis on employee growth, you'll have the opportunity to work in a collaborative environment that values creativity and technical expertise, while enjoying competitive benefits and meaningful equity in a rapidly expanding market. This role offers a unique chance to engage with both cloud and edge infrastructure, making it an exciting place for engineers looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - AI
✨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 Atarus 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 Atarus.
✨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 Atarus.
✨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 Atarus 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 Software Engineer - AI
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 Atarus.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Atarus 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 Atarus
✨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 Atarus 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.
