AI Engineer
Summary
Build and deploy production LLM applications for a global online gaming group, focusing on customer support automation, safer gambling, compliance, personalization, and internal tooling.
AbouttheCompany
OurclientisaNYSE-listeddigitalgaminggroupbehindsomeoftheworld'sbest-knownsportsbettingandiGamingbrands.Operatingacrossmorethan20countrieswithcloseto3,000employees,theyareoneofthelargestonlinegamingbusinessesintheworld,andtheyareinvestingseriouslyinAIacrossthegroup.
Bettingisareal-time,data-heavybusiness,andtheyareputtingAItoworkacrossthepartsofitthatmattermost:howcustomersexperiencetheproduct,howtheykeepcustomerssafe,andhowthebusinessrunsdaytoday.
TheRole
WeareseekingAIEngineersacrossallexperiencelevels,fromengineersearlyintheirAIcareerthroughtoseniorandleadlevel,tobuildandscaleAI-drivenproductsacrossthebusiness.Dependingonyourlevelandwhereyouland,thatcouldmean:
- Customersupportautomation:LLMagentsthatresolveaccount,paymentandbettingqueriesendtoend,withcleanhandofftohumanagentswhereitcounts
- Safergambling:systemsthathelpspotat-riskbehaviourearlyanddelivertherightinterventionattherightmoment,builttosatisfyregulatorscrutiny
- KYC,AMLandcomplianceworkflows:documentunderstandingandcasesummarisationthatcutmanualreviewtimewithoutcuttingcorners
- Personalisation:relevantcontent,offersandCRMmessaginggeneratedandtestedatscale
- Internaltooling:copilotsthatgivetrading,CSandcomplianceteamsfasteranswersfromthecompany'sowndata
TheseareappliedLLMengineeringroles,notquantorpricingroles.Youwillworkcloselywithseniorstakeholdersacrossproduct,complianceandoperations,andownwhatyouship.
WhatYou'llDo
- BuildanddeployproductionAIapplicationsusingLLMs,includingagentworkflows,tooluseandRAGpipelinesovercompanydata
- Contributetoevaluationframeworkscoveringaccuracy,latency,costandreliability,withtheextrarigouraregulatedindustrydemands
- Implementretrievalsystemsfromingestionandchunkingthroughtovectorstoresandretrievaloptimisation
- Shipproduction-gradecodewithproperobservability,errorhandling,testingandCI/CD
- HelpdesignguardrailsandfailurehandlingsoAIsystemsbehavesafelywithrealcustomersandrealmoneyinvolved
- Atseniorlevels,leadmodelandframeworkchoices,mentorotherengineersandshapehowthegroupbuildswithAI
WhatYou'llNeed
- StrongPython(orTypeScript)andsolidsoftwareengineeringfundamentals
- Hands-onexperiencebuildingLLMapplicationsoragents,whetherinproduction,atworkorthroughsubstantialpersonalprojects,withagenuineunderstandingoftheircapabilities,limitationsandfailuremodes
- PracticalfamiliaritywithRAGarchitectures,vectordatabasesandpromptengineering
- Exposuretoagentframeworks(LangGraph,ClaudeAgentSDK,OpenAISDK)orequivalentcustomimplementations
- AninterestinLLMevaluation,debuggingandobservability
- Cloudplatformexperience(AWS,GCPorAzure)isaplusatjuniorlevelandexpectedatseniorlevel
Thebarscaleswiththelevel.ForseniorroleswewillexpectproductionLLMsystemsshippedandownedendtoend.Forearlier-careerroleswecaremostaboutstrongengineeringfundamentalsandreal,demonstrableworkwithLLMs.
NicetoHave
- Experienceinaregulatedindustry(gambling,financialservices,insurance)andfamiliaritywithresponsibleAI,auditabilityandgovernance
- Experiencewithhigh-traffic,real-timeconsumerplatforms
- Fine-tuningexperienceandthejudgementtoknowwhenitbeatspromptingorRAG
- Observabilitytooling(LangSmith,Langfuse,W&B)andcostoptimisation
- ExperiencewithAIcodingtools(ClaudeCode,Codex,Copilot)
What'sonOffer
- Competitivesalarybenchmarkedtoyourlevelandexperience,plusdiscretionarybonus
- Pension,employeeassistanceprogrammeandstronglearninganddevelopmentsupport
- Genuineproductionscale:millionsofcustomers,liveproducts,measurableoutcomes
- ThechancetoshapehowoneofthebiggestnamesintheindustryusesAI
- CentralLondonofficewithhybridworking