{"id":2432243,"url":"https://alion.io/job/ebury-full-stack-ai-engineer","title":"Full-stack AI Engineer","company":{"id":51369,"name":"Ebury","domain":"ebury.com","url":"https://alion.io/company/ebury","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":11,"ghost_share":0,"stale_share":0.818,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":186000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Django","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"WebSockets","optional":false},{"name":"Amazon S3","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Fargate","optional":true},{"name":"Docker","optional":true},{"name":"Edge AI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GitHub Actions","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Material UI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Sentry","optional":true},{"name":"Vite","optional":true},{"name":"Vitest","optional":true}],"status":"live","first_seen_at":"2026-10-13T09:20:21Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T06:12:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.\nIf you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.\nEngineer\nLondon Office - Hybrid: 4 days in the office, 1 day working from home\nSenior Full-Stack Engineer - AI Agent Platform\nAbout the Role\nWe're building an AI-powered financial crime investigation platform that's transforming how Ebury's compliance teams work. Our AI agents will process thousands of screening cases, reducing analyst workload while maintaining regulatory standards.\nWe're looking for a Senior Full-Stack Engineer to help us scale our platform and raise the engineering bar. You'll architect and deliver complex features across the entire stack - from React frontends to Python backends to LLM integrations - while mentoring teammates and shaping our technical direction.\nThis is a unique opportunity to work at the intersection of AI/ML, fintech, and compliance - building production AI systems that handle real financial crime investigations at scale.\nWhat You'll Do\nArchitect and build end-to-end features across our React frontend and FastAPI backend, making sound technical decisions that balance speed with maintainability\nDesign AI agent workflows using LangGraph for screening automation, RAG pipelines, and multi-agent orchestration\nLead technical initiatives - own complex features from design to production, breaking down ambiguous problems into actionable work\nIntegrate complex data sources (internal APIs, third-party services like LexisNexis, data warehouse) with robust error handling and observability\nImprove platform reliability - implement monitoring, alerting, and performance optimizations for production AI systems\nMentor and uplift junior and mid-level engineers through code reviews, pairing, and technical guidance\nShape engineering practices - contribute to architecture decisions, coding standards, and team processes\nCollaborate cross-functionally with Product, Design, Compliance, and other engineering teams to deliver impactful solutions\nTech Stack\nFrontend:\nReact, TypeScript, Material-UI\nModule Federation (Micro-frontend architecture)\nVite, Vitest\nBackend:\nPython 3.13, FastAPI\nLangGraph (AI agent orchestration)\nLlamaIndex (RAG/vector search)\nAWS Bedrock\nDynamoDB, OpenSearch Serverless\nInfrastructure:\nAWS (ECS Fargate, Lambda, API Gateway, S3)\nTerraform, GitHub Actions\nDocker, Kubernetes\nSentry, Langfuse (LLM observability)\nWhat We're Looking For\nMust Have\n5+ years of professional software engineering experience\nStrong React + TypeScript skills - you can architect complex frontend applications with good state management, performance, and testing\nStrong Python backend experience - FastAPI, Django, or Flask with async programming, clean architecture, and production-grade code\nSystem design skills - you can design scalable, maintainable systems and articulate trade-offs clearly\nAPI design expertise - REST, WebSockets/SSE, and understanding of distributed systems patterns\nDatabase proficiency - SQL and NoSQL (DynamoDB, PostgreSQL, OpenSearch), including query optimization and data modeling\nTesting mindset - you write comprehensive tests and advocate for quality across the team\nOwnership mentality - you take features from idea to production, proactively identifying and solving problems\nStrong communication - you can explain complex technical concepts to engineers and non-engineers alike, and write clear documentation\nMentorship ability - you enjoy helping others grow and have experience guiding less experienced engineers\nNice to Have\nLLM/AI experience - LangChain, LangGraph, RAG pipelines, prompt engineering, or fine-tuning\nProduction AI systems - experience with LLM observability (Langfuse), token management, streaming, and reliability patterns\nAWS expertise - Lambda, ECS, DynamoDB, OpenSearch, Bedrock, or similar cloud services\nStreaming architectures - SSE, WebSockets, event-driven systems\nFintech/compliance background - AML, sanctions screening, KYC, or regulated industry experience\nMicro-frontend experience - Module Federation, independent deployability\nInfrastructure as Code - Terraform, CDK, or similar\nWhat Sets Senior Apart\nWe're looking for engineers who demonstrate:\nTechnical leadership - You don't just complete tasks; you identify the right problems to solve and influence technical direction\nSystems thinking - You consider the broader context: scalability, security, observability, and maintainability\nProactive communication - You surface risks early, propose solutions, and keep stakeholders informed\nQuality advocacy - You raise the bar for testing, code review, and documentation across the team\nPragmatic decision-making - You balance ideal solutions with delivery timelines, making conscious trade-offs\nContinuous learning - You stay current with industry trends and bring new ideas to the team\nWhy Join Us?\nGreenfield AI Product\nYou'll help shape a product from early stages, not maintain legacy code. Your architectural decisions will have lasting impact.\nTechnical Leadership\nDrive technical direction for a growing team. Mentor engineers and establish patterns that scale.\nCutting-Edge AI\nWork with the latest LLM technologies in production - LangGraph, RAG, multi-agent systems, and more.\nReal Impact\nOur AI agents process thousands of compliance cases. You'll see your work making a difference within weeks.\nStartup-within-Enterprise\nSmall, autonomous team with startup speed, backed by enterprise resources and stability.\nCompetitive Package\nSalary, equity, benefits, and flexible working.\nThe Team\nYou'll join a small, high-performing team within Ebury. We're growing to 10+ people over the next year, so you'll have a voice in shaping the team culture.\nAbout us\nEbury delivers sophisticated, integrated solutions - business accounts, hedging, and financing - on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. \nSince its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team. \nAt the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. \nThe opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.\nWe believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.\nImportant Security Notice for Job Applicants:\n Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.\nNotice to Recruitment Agencies and Search Firms:\n Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. 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