Senior AI Software Engineer

Senior AI Software Engineer

Full-Time 63000 - 77000 £ / year (est.) Working from home possible
Aveni

At a Glance

  • Tasks: Build and ship AI-powered products that transform financial services.
  • Company: Aveni, a leading fintech redefining AI in finance.
  • Benefits: Remote-first work, 34 days holiday, and flexible benefits.
  • Other info: Inclusive culture focused on innovation and personal development.
  • Why this job: Join a team making a real impact in the financial sector with cutting-edge technology.
  • Qualifications: Strong software engineering skills, especially in Node.js, TypeScript, and React.

The predicted salary is between 63000 - 77000 £ 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. Our achievements include being recognised as Fintech of the Year for two consecutive years and winning 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. As the adoption of AI accelerates in financial services, we’re scaling our team to meet growing demand.

We're seeking a hands-on Senior AI Software Engineer with strong full-stack experience to build and ship AI-powered products into production, leveraging FinLLM (the UK's first LLM for Financial Services) and other LLMs. You won’t build or train models—instead, you'll engineer the systems, services, interfaces, and integrations that bring those models to life for advisers, analysts, and banking teams. You'll own features end-to-end, covering selection, implementation, deployment, observability, and iteration across backend, frontend, and cloud infrastructure.

Key Responsibilities

  • Build production-ready, AI-powered products integrating LLM capabilities, RAG, and agentic workflows into real-world processes.
  • Select models, orchestrate prompts, design systems, and implement AI tooling (e.g., LangGraph, Langfuse).
  • Design evaluation, monitoring, and observability to ensure reliability and readiness for production.
  • Develop scalable, event-driven microservices and APIs using Node.js and TypeScript.
  • Build modern, responsive React frontends to make AI useful in customer workflows.
  • Architect cloud-native systems on AWS (Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS).
  • Implement microservices, distributed-system principles, and strong operational controls for integration into financial products.
  • Uphold engineering best practices: clean code, automated testing, CI/CD, and operational excellence.
  • Diagnose and improve production behaviours relating to reliability, latency, cost, and AI quality.
  • Mentor engineers, contribute to team growth, and collaborate closely with product and engineering to deliver customer-ready features.

What We’re Looking For

Essential Experience

  • Extensive software engineering background, building, deploying, and running production LLM/AI applications.
  • Strong hands-on experience with Node.js, TypeScript, and production React.
  • Experience with prompt engineering, agentic workflows, RAG, and LLM integration.
  • Knowledge of AI evaluation frameworks, monitoring, and observability.
  • Deep understanding of AWS, cloud-native engineering, APIs, and integration patterns.
  • Experience with microservices, messaging patterns, event-driven, and distributed architectures.
  • Commitment to quality, clean code, testing, and operational excellence.

Nice to Have

  • Experience with NestJS or similar backend frameworks.
  • Familiarity with LangGraph, Langfuse, or other AI orchestration and observability tools.
  • Knowledge of AI implementation in regulated/high-trust environments, ideally in financial services.
  • Systematic evaluation design for LLM outputs and agentic workflows.
  • Experience delivering agentic systems in production.

Skills & Mindset

  • Effective working in ambiguity and complex problem-solving.
  • Designing robust solutions and making pragmatic technical choices.
  • Clear communication with technical and non-technical stakeholders.
  • Awareness of production AI challenges: reliability, latency, and cost.
  • Technical mentorship, influencing decisions, and raising team standards.

Qualifications

Relevant degree or equivalent practical experience (production engineering capability is more important than a specific academic background).

Benefits

  • Remote-first working across the UK.
  • Work abroad policy.
  • Co-working spaces available.
  • 34 days holiday (including flexible bank holidays) plus your birthday off.
  • Company-wide off-sites.
  • Optional Personal Development Plan.
  • Flexible benefits platform.
  • Protection essentials: Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution, with optional increases).
  • Private health and dental care.
  • Potential share options.
  • Enhanced family leave.

Why Join Aveni?

At Aveni, we believe diversity drives innovation. We’re committed to building an inclusive workplace where everyone feels valued and empowered. If you’re passionate about using technology to drive positive change in financial services, we’d love to hear from you. Even if you don’t meet every requirement, please consider applying if you think this role could be a fit. Apply now to help us transform the financial services industry through AI!

Senior AI Software Engineer employer: Aveni

Aveni is an exceptional employer, offering a remote-first working environment that promotes flexibility and work-life balance. With a strong focus on employee growth, Aveni provides opportunities for professional development and the chance to influence key strategies in the rapidly evolving AI sector for financial institutions. The company's commitment to innovation and collaboration makes it an ideal place for those looking to make a meaningful impact in their careers.

Aveni

Contact Details:

Aveni Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Software Engineer

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 Aveni 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 Aveni.

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 Aveni.

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 Aveni 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 Senior AI Software Engineer

Full-Stack Development
Node.js
TypeScript
React
AI Integration
Prompt Engineering
Cloud-Native Engineering

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 Aveni.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Aveni 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 Aveni

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 Aveni 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.