Remote Senior AI Software Engineer
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. Increase your chances of an interview by reading the following overview of this role before making an application.
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. 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., Design evaluation, monitoring, and observability to ensure reliability and readiness for production.
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.
Extensive software engineering background, building, deploying, and running production LLM/AI applications.
js, TypeScript, and production React.
Knowledge of AI evaluation frameworks, monitoring, and observability.
Deep understanding of AWS, cloud-native engineering, APIs, and integration patterns.
Commitment to quality, clean code, testing, and operational excellence. Familiarity with LangGraph, Langfuse, or other AI orchestration and observability tools.
Knowledge of AI implementation in regulated/high-trust environments, ideally in financial services.
Awareness of production AI challenges: reliability, latency, and cost.
Relevant degree or equivalent practical experience (production engineering capability is more important than a specific academic background). Remote-first working across the UK
~ Work abroad policy
~ 34 days holiday (including flexible bank holidays) plus your birthday off
~ Flexible benefits platform
~ Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution, with optional increases)
~ Private health and dental care
~ Enhanced family leave At Aveni, we believe diversity drives innovation. We’re committed to building an inclusive workplace where everyone feels valued and empowered. xehkeey If you’re passionate about using technology to drive positive change in financial services, we’d love to hear from you. Apply now to help us transform the financial services industry through AI!
Remote working/work at home options are available for this role.
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. 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., Design evaluation, monitoring, and observability to ensure reliability and readiness for production.
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.
Extensive software engineering background, building, deploying, and running production LLM/AI applications.
js, TypeScript, and production React.
Knowledge of AI evaluation frameworks, monitoring, and observability.
Deep understanding of AWS, cloud-native engineering, APIs, and integration patterns.
Commitment to quality, clean code, testing, and operational excellence. Familiarity with LangGraph, Langfuse, or other AI orchestration and observability tools.
Knowledge of AI implementation in regulated/high-trust environments, ideally in financial services.
Awareness of production AI challenges: reliability, latency, and cost.
Relevant degree or equivalent practical experience (production engineering capability is more important than a specific academic background). Remote-first working across the UK
~ Work abroad policy
~ 34 days holiday (including flexible bank holidays) plus your birthday off
~ Flexible benefits platform
~ Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution, with optional increases)
~ Private health and dental care
~ Enhanced family leave At Aveni, we believe diversity drives innovation. We’re committed to building an inclusive workplace where everyone feels valued and empowered. xehkeey If you’re passionate about using technology to drive positive change in financial services, we’d love to hear from you. Apply now to help us transform the financial services industry through AI!
Remote working/work at home options are available for this role.