> Markdown version of [/jobs/ext/3585604-remote-senior-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/3585604-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:** Aveni - **Location:** Lancing, 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, Automation of Tests, Cloud Computing, Cloud Engineering, Continuous Integration, Distributed Systems, Amazon DynamoDB, Node.Js, Software Engineering, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, AWS Fargate, Front End Software Development, Api Gateway, NestJS, Amazon Simple Queue Service (SQS), Microservices - **Published:** October 5, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/remote-senior-ai-software-engineer/50489269 ## About the Role 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! ## Description 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