Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and engineer AI-driven systems that solve real-world business challenges.
- Company: High-growth FinTech company revolutionising data-driven products.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- 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: Fast-paced environment with a focus on collaboration and continuous improvement.
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
- Datastores: PostgreSQL, BigQuery, MySQL
- Frontend: React, styled-components
- Testing: Jest, React Testing Library, Cypress, pytest
- Cloud: AWS, GCP
- Infrastructure: Docker, ECS Fargate, Terraform
- CI/CD: GitHub Actions
How You’ll Work:
- 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
- Continuous deployment: Automated, secure, resilient delivery
- 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
Software Engineer - GenAI employer: Atarus
Contact Detail:
Atarus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - GenAI
✨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 your problem-solving abilities and how you can make an impact.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, it’s not just about coding; be ready to discuss how your work aligns with business outcomes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and genuinely interested in joining our team.
We think you need these skills to ace Software Engineer - GenAI
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 that showcase your ability to design large-scale systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of how you've tackled real-world problems in previous roles, especially in fast-moving environments.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in the languages and tools we use, like Python, TypeScript, and AWS. If you have experience with Generative AI or NLP, make it stand out – we love seeing that!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Atarus
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, TypeScript, and cloud platforms like AWS and GCP. Brush up on your knowledge of DevOps practices and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world business problems using AI or Generative AI. Be ready to explain your thought process and how your solutions had a measurable impact on the business outcomes.
✨Emphasise Collaboration
Since the role involves working in cross-functional teams, highlight your experience with pair programming and collaborative projects. Share specific instances where you’ve mentored others or contributed to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and how they measure success. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values.
