Senior AI Engineer
Shankar SunkariRemoteSENIORPosted 1d ago
LangChainLangGraphLlamaIndexSemantic KernelAutoGenAmazon Bedrock AgentsPython 3.11+asynchronous programmingtype annotationsFastAPIPydanticLLM-as-a-JudgeAzure AIAWS AI servicesDatadogOpenTelemetryPostgreSQLAurora PostgreSQLKubernetesHelmTerraformCI/CDApache Kafka
About the Role
We are seeking a Senior AI Engineer to develop enterprise-grade Agentic AI and LLM applications. This role involves designing, building, and optimizing complex AI systems for production environments.
Key Responsibilities
• Design and develop enterprise-grade Agentic AI and LLM applications using LangChain, LangGraph, and related frameworks
• Build multi-step LLM workflows with tool/function calling, structured outputs, retries, and error handling
• Develop and optimize RAG pipelines, embeddings, vector search, indexing, and retrieval strategies
• Implement LLM evaluation frameworks, golden datasets, quality metrics, and regression testing
• Collaborate with Product, Business, Risk, Compliance, and Security teams
• Handle production support, incident management, root-cause analysis, and continuous improvement
• Mentor junior engineers and contribute to architecture, code reviews, and engineering best practices
Requirements
• 8+ years of professional software engineering experience
• 3+ years of hands-on Generative AI / LLM application development experience
• Strong implementation experience in Agentic AI and LLM orchestration, particularly LangChain
• Experience deploying at least one enterprise-grade GenAI/LLM application into production
• Experience supporting live production AI applications, including incident response, performance optimization, and regression management
• Strong understanding of enterprise security, access control, data governance, and compliance requirements
Preferred Qualifications
• Experience in Financial Services, Banking, Insurance, Healthcare, or other regulated industries
• Strong Azure AI implementation experience
• Experience designing scalable, event-driven enterprise AI architectures