> Markdown version of [/jobs/ext/3581399-remote-senior-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/3581399-remote-senior-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Senior AI Software Engineer - **Company:** Lloyds Banking Group - **Location:** Nottingham, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Clean Code Principles, AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, Amazon DynamoDB, Software Engineering, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Low Latency, AWS Fargate, Front End Software Development, Api Gateway, Amazon Simple Queue Service (SQS), Microservices - **Published:** October 4, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/remote-senior-ai-software-engineer/50314620 ## About the Role 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. 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! ## Description 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