GEN AI Engineer

JobSummary

WearelookingforaskilledGenerativeAIEngineer to design, develop, and deploy AI-powered applications leveraging Large LanguageModels(LLMs),Retrieval-AugmentedGeneration(RAG),AIAgents,andmodernAIframeworks.Theidealcandidateshouldhavehands-onexperienceinbuildingenterprise-gradeGenerativeAIsolutionsandintegratingthemintobusinessapplications.

KeyResponsibilities

• DesignanddevelopGenerativeAIsolutionsusingLargeLanguageModels(LLMs).
• BuildAI-poweredchatbots,virtualassistants,knowledgeassistants,anddocumentintelligencesolutions.
• DesignandimplementRAG(Retrieval-AugmentedGeneration)architectures.
• DevelopAIAgentsandmulti-agentworkflowsforenterpriseusecases.
• IntegrateAIsolutionswithenterprisesystems,APIs,andcloudservices.
• Fine-tune,evaluate,andoptimizefoundationmodelsforbusinessrequirements.
• Implementpromptengineeringtechniquestoimproveresponsequalityandaccuracy.
• Workwithvectordatabasesandsemanticsearchsolutions.
• Monitormodelperformance,latency,security,andscalability.
• Collaboratewithdatascientists,architects,developers,andbusinessstakeholders.
• EnsurecompliancewithResponsibleAI,security,andgovernancestandards.

RequiredSkills

Programming

Strongproficiencyin

Python

SQL

RESTAPIs

Git

GenerativeAI&LLMs

OpenAIGPTModels

AzureOpenAI

AnthropicClaude

GoogleGemini

LlamaModels

MistralModels

Strongunderstandingof

PromptEngineering

Fine-Tuning

Embeddings

LLMEvaluation

TokenManagement

AIFrameworks

LangChain

LangGraph

LlamaIndex

SemanticKernel

CrewAI

AutoGen

RAG&VectorDatabases

Experiencebuilding

RAG-BasedApplications

KnowledgeSearchPlatforms

EnterpriseCopilots

Hands-onexperiencewith

Pinecone

ChromaDB

Weaviate

FAISS

AzureAISearch

CloudTechnologies

Experiencewith

MicrosoftAzure

AWS

GoogleCloudPlatform(GCP)

Exposureto

AzureAIServices

AzureMachineLearning

AzureOpenAIService

AWSBedrock

VertexAI

Data&Integration

Experiencewith

DataPipelines

ETLProcesses

StructuredandUnstructuredDataProcessing

APIIntegrations

EnterpriseDataPlatforms

PreferredSkills

• ExperiencewithMachineLearningandDeepLearningconcepts.
• KnowledgeofMLOpstoolssuchasMLflow,Kubeflow,orAzureML.
• ExperiencewithDocker,Kubernetes,andCI/CDpipelines.
• UnderstandingofAISecurity,ResponsibleAI,andModelGovernance.
• ExposuretomultimodalAIsolutionsinvolvingtext,image,audio,orvideomodels.

EducationalQualification

Bachelor'sorMaster'sdegreeinComputerScience,ArtificialIntelligence,DataScience,Engineering,orarelatedfield.

SoftSkills

• Stronganalyticalandproblem-solvingskills.
• Excellentcommunicationandstakeholdermanagementabilities.
• AbilitytoworkindependentlyandwithinAgileteams.
• Strongcollaborationandteamworkskills.
• ContinuouslearningmindsetwithapassionforemergingAItechnologies.

NicetoHave

• MicrosoftAzureAIEngineerAssociateCertification.
• ExperiencebuildingenterpriseAIassistantsandcopilots.
• ExposuretoRetail,BFSI,Healthcare,Manufacturing,orE-commercedomains.
• ExperiencewithAgenticAI,Multi-AgentSystems,andAutonomousWorkflows.
• Contributionstoopen-sourceAIprojectsorpublishedAIresearch.