At a Glance
- Tasks: Lead AI-powered product development and set technical direction for your squad.
- Company: Join Aveni, a recognised leader in AI for financial services.
- Benefits: Enjoy remote-first work, 34 days holiday, and flexible benefits tailored to you.
- Why this job: Make a real impact in the financial sector using cutting-edge AI technology.
- Qualifications: 10+ years in software engineering with strong AI/ML experience.
- Other info: Collaborative culture with opportunities for continuous learning and growth.
The predicted salary is between 80000 - 100000 £ per year.
Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand.
Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work.
The role involves being the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You will own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI.
What you’ll be doing:
- Setting technical direction for your squad.
- Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board.
- Leading AI-powered product development: designing LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale.
- Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works.
- Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it.
- Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing.
- Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do.
- Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services.
Requirements:
We are looking for a seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production. You should have real technical leadership experience, having set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships. Strong hands-on AI/LLM skills are essential, including prompt engineering, RAG, model evaluation and agent frameworks. You should have deep expertise in Node.js or Python, with solid experience in the other; comfortable switching contexts depending on what the problem needs. Experience in cloud-native development on AWS is required, along with an instinct for well-designed, maintainable systems. A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt is important. You should also care about auditability, compliance, and the downstream impact of what you ship.
Why Aveni:
- You will work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations.
- AI-native engineering culture: we use AI tools seriously, across the full development process, and we’re always looking to push further.
- High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you.
- A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly.
Benefits at Aveni:
- Remote-first working across the UK. Work abroad policy for when you want a change of scenery. Co-working spaces available if you want an office buzz sometimes.
- 34 days holiday (including flexible bank holidays) and your birthday off.
- Company-wide off-sites (yes, karaoke may happen).
- Optional Personal Development Plan.
- Flexible benefits platform: you choose the benefits that matter most to you (not the company).
- Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions).
- Private health-and dental care for your peace of mind.
- Potential share options, have a stake in what you’re building.
- Enhanced family leave.
Join Us in Making a Difference:
At Aveni, we believe that diversity drives innovation. We have built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you are passionate about technology and its ability to drive positive change for the future of financial services, we would love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.
Staff Software Engineer in Edinburgh employer: Aveni UK
Contact Detail:
Aveni UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Aveni or similar companies. LinkedIn is your best mate here; drop them a message and express your interest in their work. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source software. This is your chance to demonstrate your hands-on experience with AI/ML systems and full-stack development. Make it easy for recruiters to see what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI knowledge and coding skills. Practice common algorithms and system design questions, especially those related to cloud-native development and event-driven architectures. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of Aveni’s mission to transform financial services with AI. Let’s make it happen!
We think you need these skills to ace Staff Software Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI and full-stack development. We want to see how your skills align with our mission at Aveni, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills: When detailing your experience, focus on your hands-on work with AI/ML systems and cloud-native development. We’re looking for someone who can lead technical direction, so be specific about your contributions and the impact they had.
Be Authentic: Let your personality shine through in your application. We value diversity and want to know what makes you unique. Share your passion for technology and how you envision contributing to our innovative team at Aveni.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Aveni UK
✨Know Your AI Inside Out
Make sure you brush up on your AI and LLM knowledge before the interview. Be ready to discuss your hands-on experience with prompt engineering, RAG, and model evaluation. Aveni is looking for someone who can not only talk the talk but also walk the walk when it comes to AI in production.
✨Showcase Your Leadership Skills
Prepare examples of how you've set technical direction and made architectural decisions in previous roles. Aveni values real technical leadership, so be ready to share how you've mentored others and influenced team dynamics. Highlight specific instances where your decisions led to successful outcomes.
✨Demonstrate Full-Stack Proficiency
Since the role requires delivering production-grade code across the full stack, be prepared to discuss your experience with Node.js, Python, and AWS. Bring examples of projects where you've switched contexts between these technologies and how you approached problem-solving in a cloud-native environment.
✨Emphasise Compliance and Responsibility
Aveni operates in a regulated financial services environment, so it's crucial to show that you understand the importance of compliance and auditability. Be ready to discuss how you've built systems with these considerations in mind and how you ensure that everything you ship meets high standards.