Senior GenAI & Agentic AI Engineer
Capgemini · Mumbai · onsite · Posted 51d ago
Undisclosed4–6 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Responsibilities
- Design and build LLM-based applications (copilots, assistants, contextual AI)
- Develop and optimizeRAG pipelines for enterprise use cases
- Implementagentic AI systems (multi-agent orchestration, planning execution loops)
- Integrate solutions withenterprise systems/APIs/data sources
- Ensureproduction stability (monitoring, RCA, performance tuning, deployments)
- 4-6 years expereince only
- Strong Python + LLM frameworks (LangChain, LangGraph, etc.)
- Hands-onRAG architectures vector databases
- Expertise inAgentic AI (multi-agent, tool-based systems)
- Experience withAWS/Azure (preferably Azure OpenAI)
- Knowledge ofLLMOps/MLOps, APIs, and enterprise integration
Sourced from naukri
Skills
Retrieval Augmented GenerationPerformance Tuningorchestrationapisenterprise systemsMLOpsenterprise integrationamazon web servicesai engineerLLMOpsVectorAzure OpenAIvector databasesRAG PipelinesLarge Language Models (LLMs)OpenAI SDKPythonMicrosoft AzureLangchainArtificial Intelligence
About Capgemini
Capgemini
IT Services & Consulting
235k+
employees
1967
59 years old
Mumbai, Maharashtra
India
About
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
Industries
IT Services & ConsultingAnalytics & KPOBankingSoftware Product
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