Senior AI Engineer
Phaneendranath BhuvanagiriRemoteSENIORPosted 1h ago
Agentic AILLM orchestrationGenerative AILarge Language ModelsLangChainLangGraphRAGembeddingsvector databasesPython 3.11+FastAPIPydanticasynchronous programmingLLM EvaluationGolden DatasetsRAGASDeepEvalEnterprise AI production deploymentAI ObservabilitytracingmonitoringREST APIscloud servicesevent-driven architecturesEnterprise securityaccess controlcomplianceAzure OpenAIAzure AI FoundryAzure AI SearchLlamaIndexSemantic KernelAutoGenAmazon Bedrock AgentsPostgreSQLpgvectorAurora PostgreSQLApache KafkaKubernetesHelmTerraformCI/CDLangfuseLangSmithOpenTelemetryDatadogDocument AIOCRHuman-in-the-Loop workflows
About the Role
We are looking for a hands-on Senior AI Engineer with strong expertise in Agentic AI, Generative AI, LLM orchestration, and RAG to design, develop, deploy, and support enterprise-grade AI applications.
Key Responsibilities
• Design and implement Agentic AI and multi-step LLM workflows
• Develop and optimize enterprise RAG solutions
• Build LLM evaluation frameworks and golden datasets
• Deploy and maintain production-grade GenAI applications
• Implement AI observability, monitoring, and performance optimization
• Manage production incidents, regression testing, latency, and cost
• Collaborate with Product, Business, Security, Risk, and Compliance teams
Requirements
• Minimum 5 years of software engineering experience
• Minimum 2 years of hands-on GenAI/LLM application development
• Proven experience deploying enterprise-grade GenAI applications into production
• Strong post-production ownership and support experience
• Experience in Financial Services, Insurance, or Healthcare is highly preferred
• Candidates with only GenAI POC or experimental project experience will not be considered