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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Software Engineer - **Company:** Aveni - **Location:** UK (Remote available) - **Experience:** Expert - **Salary:** £104,296.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Cloud Engineering, Continuous Integration, Distributed Systems, Amazon DynamoDB, Node.Js, Software Engineering, TypeScript, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Backend, AWS Fargate, Front End Software Development, Api Gateway, NestJS, Amazon Simple Queue Service (SQS), Microservices - **Published:** August 17, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5844305389 ## About the Role * 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., * Relevant degree or equivalent practical experience (production engineering capability is more important than a specific academic background). ## Description 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., 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. ## Related Videos - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [Next, Nest, Nuxt… Nust?](https://www.wearedevelopers.com/videos/421-next-nest-nuxt-nust) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)