Artificial Intelligence Engineer

Angel and Genie; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Angel and Genie is looking for a hands-on AI Engineer or Data Scientist in Bengaluru, Karnataka. This role involves building, deploying, and maintaining advanced LLM workflows as part of our Generative AI ecosystem. The ideal candidate will possess strong programming skills in Python and SQL, and experience with cloud platforms like Azure or AWS.

The position requires a deep understanding of AI orchestration and proficiency in tools such as LangChain and ChromaDB. Familiarity with CI/CD and containerization technologies is also essential.

Qualifications

• Experience as an AI Engineer or Data Scientist with strong AI engineering background.
• Proven expertise in designing and optimizing prompts for LLMs.
• Hands-on experience debugging live AI applications.

Responsibilities

• Take ownership of the Generative AI ecosystem and build advanced workflows.
• Optimize pipelines for Retrieval-Augmented Generation and smart routing.
• Automate deployment of model updates with zero downtime.

Skills

Python programming

SQL

LangChain

ChromaDB

Docker

CI/CD tools

Tools

Langfuse

GitHub Actions

GitLab CI

Azure DevOps

Job description

JobRole

Weareseekingahands-onAIEngineer(oraDataScientistwithstrongAIengineeringexperience)totakeownershipofourproduction-gradeGenerativeAIecosystem.Youwillbuild,deploy,andmaintainadvancedLLMworkflowsfocusingonRAGandagenticroutingthatintegratedirectlyintoliveenterpriseapplicationstodeliveractionablebusinessinsights.

Architect&Build:DesignandmaintainscalableRetrieval-AugmentedGeneration(pipelines)andsmartroutingmechanismstooptimizehowLLMsprocessvaryingbusinessqueries.

Deploy&Automate:DesignCI/CDpipelinestoautomatethedeploymentofmodelupdates,prompts,andbackendlogicwithzerodowntime.

Integrate&Connect:SeamlesslylinkourAIworkflowsintoenterprisesoftwareproductsbyintegratingwithexistingbackendAPIsanddataservices.

Monitor&Debug:Activelytracesystemhealthinproduction,pinpointingandresolvinglatencybottlenecks,retrievalfailures,orpromptinefficiencies.

Collaborate:WorkdirectlywithprojectleadershiptotranslatecomplexbusinessrequirementsintotechnicalAIfeatures.

CoreCompetencies

Experience:ExperienceasanAIEngineer,orasaDataScientistwithstrongappliedAIengineeringexperience.MusthaveadvancedPythonandstrongSQLprogrammingskillsfordataextractionandpipelinedevelopment.

PromptEngineering:Provenexpertiseindesigning,testing,andoptimizingcomplexpromptsforvariousLLMstoensurehighaccuracy,groundedresponses,andcost-efficiency.

GenAIOrchestration:DeeppracticalexperiencebuildingcomplexworkflowswithLangChain.

VectorInfrastructure:Production-levelexperiencemanagingandqueryingvectordatabases(specificallyChromaDB,orsimilarlikePinecone/Milvus).

Observability:Hands-onexperiencedebuggingandtracingliveAIapplicationsusingLangfuse(orequivalenttrackingtools).

Cloud & MLOps

• Proficiencyinatleastonemajorcloudplatform(Azure,AWS,orGCP).
• ExperiencewithCI/CDtools(e.g.,GitHubActions,GitLabCI,AzureDevOps).
• Familiaritywithcontainerization(Docker)andRESTfulAPIintegration.

Added Advantage

ExperiencebuildingautonomousagentswithframeworkslikeLangGraphorCrewAI.

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

Priorexposuretolifesciences,pharma,orhealthcaredata.