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Lead Software Engineer
Lead Software Engineer – AI & Financial Services
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.
Recognised as Fintech of the Year for two consecutive years and ** Best Specialist Technology Service at the Professional Adviser Awards 2025**, we’re backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society. Following one of Scotland’s largest Series A rounds, we’re now scaling our engineering team to meet the rising demand for AI in financial services.
Our team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, offering unparalleled expertise and continuous learning opportunities.
The Role: Lead Software Engineer (AI & Full-Stack)
As the most senior technical voice in one of our product squads, you’ll serve as the technical co-leader alongside the Engineering Manager. This role demands deep expertise in AI, ownership of technical direction, and hands-on leadership including:
- Architectural decision-making and hands-on delivery.
- Mentoring engineers across AI and full-stack domains.
- Setting high standards for AI-powered workflows, including LLM-centric features.
Key Responsibilities
- Technical Leadership
- Define the squad’s technical direction, manage risk, and represent engineering in our Architecture Review Board.
- Own AI/ML system architecture, from prompt engineering to agent frameworks.
- Adoption of AI Coding Tools
- Drive adoption of AI-driven development across the Software Development Life Cycle (SDLC).
- Set standards for AI usage—from code review to deployment.
- Full-Stack & Cloud-Native Delivery
- Build production-grade code in Node.js or Python backends, event-driven AWS architecture, and React where needed.
- Mentorship & Growth
- Guide engineers via code reviews, design documents, and day-to-day collaboration.
- Compliance & Standards
- Ensure auditable, compliant-by-design systems for FCA-regulated financial services.
- Collaboration with Platform Teams
- Consume shared capabilities and contribute reusable patterns rather than low-level one-offs.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We’re Looking For
- 10+ Years of Experience:
- Deep hands-on hair in AI/ML system production, not just theoretical knowledge.
- Proven Leadership:
- Track record of shaping technical direction, mentoring teams, and influencing how build happens.
- AI Expertise:
- Prompt engineering, RAG, LLM model evaluation, and agent framework experience—production-ready, not just demo-scope.
- Full-Stack Depth:
- Node.js as a specialty, with proficiency in Python, event-driven serverless (AWS Lambda), and React.
- Curiosity & Judgment:
- Keeps abreast of emerging AI trends but adept at separating signal from noise in best choices.
- Compliance & Responsibility:
- Strong instinct for auditability, ethics, and regulatory alignment in financial systems.
Why Join Aveni?
- Work at the Frontier: Shape AI-driven financial services that genuinely improve client outcomes.
- AI-Native Culture: We’ve embedded AI across the entire development process—from design to delivery.
- High Impact: As a Staff Engineer, your decisions will influence product architecture, cloud infrastructure, and engineering workflows.
- Collaborative Team: Innovating alongside a group passionate about proprietary technologies.


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Benefits
| Core Offerings | Career Growth | Flexibility & Wellbeing |
|---|---|---|
| Remote-first (UK) | Optional Personal Development Plan | Co-working spaces available |
| Work abroad policy | Potential share options | 34 days holiday (including flexible bank holidays) |
| Birthday off | Enhanced family leave | Protected essentials: life insurance, critical illness cover |
| Company-wide off-sites (e.g., karaoke!) | Private health & dental policies | |
| Flexible benefits platform | ||
| Matching pension contributions |
Join Us in Transforming Financial Services
Diversity drives innovation—Aveni fosters an inclusive culture where every contribution counts. If you’re excited about applied AI in financial services, fuels positive change, and shares our mission, we’d love to hear from you—regardless of whether you meet every criterion. Apply now and help us redefine how AI improves money management.
🚀 Start with us today.
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