Senior AI Software Engineer
Role Summary
Join Aveni as a Senior AI Software Engineer to build AI-powered financial products. Work with cutting-edge technology and influence the future of fintech.
About the Organisation
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!
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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.
Minimum Requirements
- 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.
- Relevant degree or equivalent practical experience (production engineering capability is more important than a specific academic background).
Working Conditions
- 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
Eligibility Criteria
The role is likely open to international applicants, but specific eligibility details regarding sponsorship are unclear.
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