Senior AI Engineer
Talent Retriever
SeniorAIEngineer|AI-NativeOrchestrationPlatform AboutNetSpeek
NetSpeekisbuildinganAI-nativeorchestrationplatformforenterprisephysicalenvironmentssuchasmeetingrooms,AVstacks,collaborationdevices,andhybridworkinfrastructure.
OurAI,Lena,reasonsoverdevicestate,retrievesstructuredknowledge,executesactions,andoperatesunderenterpriseconstraints. TheProfileWeAreTargeting
YoucomefromacompanywhereAIwastheproduct,notafeature.
Youhaveworkedinagrowth-stageAISaaSenvironmentwhere:
Youcan:
Thepersoninthisseatwillinfluence:
NetSpeekisbuildinganAI-nativeorchestrationplatformforenterprisephysicalenvironmentssuchasmeetingrooms,AVstacks,collaborationdevices,andhybridworkinfrastructure.
OurAI,Lena,reasonsoverdevicestate,retrievesstructuredknowledge,executesactions,andoperatesunderenterpriseconstraints. TheProfileWeAreTargeting
YoucomefromacompanywhereAIwastheproduct,notafeature.
Youhaveworkedinagrowth-stageAISaaSenvironmentwhere:
- Reliabilitymattered
- Evaluationwasformalized
- AIperformancewasmeasuredcontinuously
- Shippingvelocityincreasedunderscalepressure
- Customersdependedonthesystem
- Designandevolutionofagenticreasoningflows
- Retrievalquality,embeddingstrategies,andgroundingdiscipline
- Modelevaluationpipelinesandreliabilitymetrics
- Hallucinationdetectionandmitigationstrategies
- Structuredoutputdesignforsafeactionexecution
- Human-in-the-loopescalationlogic
- AIcostoptimizationunderrealusagepatterns
- Modelselectionandexperimentationdiscipline
- AITeamLeadforarchitecturaldirection
- EVPProductandEngineeringforsystem-levelstrategy
- Backendengineersforexecutionintegration
- UXforAIinteractionflows
- Thisroleshapeshowintelligencebehavesinourplatform.
- 5+yearsinmachinelearningengineeringorcombinationof5+yearswithMLandappliedAIsystems
- 2+yearsbuildingandshippingLLM-poweredsystemsinagrowth-phaseAISaaScompany
- Hands-onexperiencewithRAGsystemsincludingvectordatabases,embeddingtuning,retrievaloptimization
- ExperiencebuildingevaluationpipelinesforLLMperformanceandreliability
- StrongPythonwithproduction-levelMLsystemimplementation
- Experienceoperatingunderrealproductconstraintssuchaslatency,cost,observability,andsafety
- Experiencedesigningagenticworkflowswithmeasurableperformanceimprovements
- ExposuretoAI-nativestartupsthatscaledfromearlytractiontogrowthstage
- Experiencereducinghallucinationandimprovinggroundinginproduction
- Costoptimizationexperienceatscaleincludingtokenmodelingandcachingstrategies
- Familiaritywithcompliance-awareAIloggingandenterpriserequirements
Youcan:
- TranslateambiguousAIgoalsintostructuredsystemdesign
- Defineevaluationbeforefeaturerelease
- Anticipatemodelfailuremodes
- Balanceprobabilisticreasoningwithdeterministicsafeguards
- Improvesystemsiterativelyusingdata
- Findsolutionsratherthanpointingproblems
- YouarecomfortablebeingaccountableforAIbehaviorinproduction.
Thepersoninthisseatwillinfluence:
- HowLenareasonsandacts
- Howsafeandreliableourautomationbecomes
- Howscalableandcost-efficientourAIarchitectureis
- Howstrongourtechnicalmoatbecomes
Vacancy posted 4 days ago
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