
51 - 200 Mitarbeiter
Gegründet 2018
🤖 Künstliche Intelligenz
💳 Fintech
📋 Compliance
🔥 Finanzierung im letzten Jahr
💰 Series B im 2026-06
Artificial Intelligence • Fintech • Compliance
Aveni is an AI-first software platform that provides specialist tools for UK financial services, focused on adviser productivity and compliance assurance. Its product suites (Wealth and Compliance) include Assist and File Check for meeting capture, suitability drafting and automated file reviews, and Detect, Approve and Assure for pre-deployment testing, real-time oversight and 100% automated review of regulated customer interactions. Aveni runs its own FinLLM models trained on UK financial services and combines them with a compliance layer and audit trails so banks, wealth managers and advice firms can scale risk detection, regulatory evidence and governance while integrating into existing workflows. The company emphasizes explainability, regulatory alignment (FCA/Consumer Duty), and enterprise deployment controls.
🔥 vor 1 Stunde
🗣️🇺🇸🇬🇧 Englisch erforderlich
Woher diese Stelle stammt
Veröffentlicht auf der Karriereseite von Aveni, nicht über eine Jobbörse
Von Remote Rocketship zum ersten Mal gesehen vor 1 Stunde

51 - 200 Mitarbeiter
Gegründet 2018
🤖 Künstliche Intelligenz
💳 Fintech
📋 Compliance
🔥 Finanzierung im letzten Jahr
💰 Series B im 2026-06
Artificial Intelligence • Fintech • Compliance
Aveni is an AI-first software platform that provides specialist tools for UK financial services, focused on adviser productivity and compliance assurance. Its product suites (Wealth and Compliance) include Assist and File Check for meeting capture, suitability drafting and automated file reviews, and Detect, Approve and Assure for pre-deployment testing, real-time oversight and 100% automated review of regulated customer interactions. Aveni runs its own FinLLM models trained on UK financial services and combines them with a compliance layer and audit trails so banks, wealth managers and advice firms can scale risk detection, regulatory evidence and governance while integrating into existing workflows. The company emphasizes explainability, regulatory alignment (FCA/Consumer Duty), and enterprise deployment controls.
• Build and ship production-ready AI-powered products integrating LLM capabilities, RAG, and agentic workflows • Select models, orchestrate prompts, design systems, and implement AI tooling such as LangGraph and Langfuse • Design evaluation, monitoring, and observability for reliability and production readiness • Develop scalable, event-driven microservices and APIs using Node.js and TypeScript • Build modern, responsive React frontends for customer workflows • Architect cloud-native systems on AWS, including Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, and RDS • Implement microservices, distributed-system principles, and operational controls for financial products • Apply clean code, automated testing, CI/CD, and operational excellence • Diagnose and improve production reliability, latency, cost, and AI quality • Mentor engineers, contribute to team growth, and collaborate with product and engineering teams on customer-ready features • Own features end-to-end across selection, implementation, deployment, observability, and iteration
• 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 • 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 • Must be based in the United Kingdom and legally authorised to work in the United Kingdom
• 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 • Life Insurance • Income Protection • Critical Illness cover • Pension with up to 5% matched employer contribution, with optional increases • Private health and dental care • Potential share options • Enhanced family leave
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