Artificial Intelligence Engineer

JobRole:

Weareseekingahands-onAIEngineer(oraDataScientistwithstrongAIengineering

experience)totakeownershipofourproduction-gradeGenerativeAIecosystem.Youwill

build,deploy,andmaintainadvancedLLMworkflowsfocusingonRAGandagenticrouting

thatintegratedirectlyintoliveenterpriseapplicationstodeliveractionablebusinessinsights.

.Architect&Build:DesignandmaintainscalableRetrieval-AugmentedGeneration

(RAG)pipelinesandsmartroutingmechanismstooptimizehowLLMsprocess

varyingbusinessqueries.

.Deploy&Automate:DesignCI/CDpipelinestoautomatethedeploymentofmodel

updates,prompts,andbackendlogicwithzerodowntime.

.Integrate&Connect:SeamlesslylinkourAIworkflowsintoenterprisesoftware

productsbyintegratingwithexistingbackendAPIsanddataservices.

.Monitor&Debug:Activelytracesystemhealthinproduction,pinpointingand

resolvinglatencybottlenecks,retrievalfailures,orpromptinefficiencies.

.Collaborate:Workdirectlywithprojectleadershiptotranslatecomplexbusiness

requirementsintotechnicalAIfeatures.

CoreCompetencies:

.Experience:ExperienceasanAIEngineer,orasaDataScientistwithstrong

appliedAIengineeringexperience.MusthaveadvancedPythonandstrongSQL

programmingskillsfordataextractionandpipelinedevelopment.

.PromptEngineering:Provenexpertiseindesigning,testing,andoptimizing

complexpromptsforvariousLLMstoensurehighaccuracy,groundedresponses,

andcost-efficiency.

.GenAIOrchestration:Deeppracticalexperiencebuildingcomplexworkflowswith

LangChain.

.VectorInfrastructure:Production-levelexperiencemanagingandqueryingvector

databases(specificallyChromaDB,orsimilarlikePinecone/Milvus).

.Observability:Hands-onexperiencedebuggingandtracingliveAIapplications

usingLangfuse(orequivalenttrackingtools).

.Cloud&MLOps:

oProficiencyinatleastonemajorcloudplatform(Azure,AWS,orGCP).

oExperiencewithCI/CDtools(e.g.,GitHubActions,GitLabCI,AzureDevOps).

oFamiliaritywithcontainerization(Docker)andRESTfulAPIintegration.

AddedAdvantage

.ExperiencebuildingautonomousagentswithframeworkslikeLangGraphor CrewAI.

.FamiliaritywithAIevaluationframeworks(e.g.,RAGAS)ormodelfine-tuning (PEFT/LoRA).

.Priorexposuretolifesciences,pharma,orhealthcaredata.