Agentic AI Engineer / Architect (LLM, RAG & Multi-Agent Systems)
Consult Asia · Nagpur · onsite · Posted 26d ago
₹30.0L - ₹45.0L PA8–13 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Design and build Agentic AI platforms using LLMs, RAG pipelines & multiagent orchestration frameworks. Develop scalable backend services, integrate LLM platforms, implement vector search infrastructure & build context engg pipelines for AI workflows
Required Candidate profile
GenAI engineer with experience in LLM platforms, RAG architectures, vector databases & multi-agent frameworks like LangChain / LlamaIndex. Backend dev skills with Python/Java & building AI systems.Sourced from naukri
Skills
LangChain / LlamaIndex / AutoGen frameworksOpenAI / Azure OpenAI / BedrockPrompt EngineeringLLM IntegrationSemantic KernelWeaviateRAG ArchitectureAzure OpenAIvector databasespgvectorMulti-agent OrchestrationPinecone DBTypescriptMicroservicesAgentic Ai