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AI Engineer

Lokesh Chandra TejaUnited StatesSENIORPosted 14d ago
PythonFastAPIAsyncIOPydanticSQLREST APIsAgentic AILangGraphMulti-Agent SystemsWorkflow OrchestrationAmazon BedrockEnterprise LLMsTool CallingGuardrailsPrompt EngineeringRAGContext EngineeringVector SearchHybrid SearchDockerKubernetesAmazon EKSHelmTerraformCI/CDPostgreSQL/AuroraRedisDynamoDBS3OpenAPIMCPEventBridgeSQSKafka IntegrationsDatabricks SQLDelta LakeUnity CatalogData GovernanceOpenTelemetryLangSmithPhoenixMLflowDeepEvalIAMOAuth/OIDCRBACSecurityComplianceLLMOpsFinOps
About the Role We are seeking an experienced AI Engineer to join our team, focusing on enterprise agentic AI solutions in the healthcare domain. Key Responsibilities • Develop and implement agentic AI solutions using LangGraph and multi-agent systems • Design and build workflow orchestration systems for enterprise applications • Implement RAG, context engineering, and vector search solutions • Ensure security, compliance, and LLMOps best practices • Integrate with various AWS services including Bedrock, EKS, and SQS Requirements • 8+ years of experience with GenAI and agentic AI technologies • Mandatory experience in healthcare domain, Medicaid, and claims processing • Strong expertise in Python, FastAPI, AsyncIO, and Pydantic • Proficiency with SQL, REST APIs, and database technologies • Experience with Amazon Bedrock, Enterprise LLMs, and prompt engineering • Knowledge of RAG, context engineering, and vector search • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Experience with PostgreSQL/Aurora, Redis, DynamoDB, and S3 • Understanding of OpenAPI, MCP, EventBridge, SQS, and Kafka • Experience with Databricks SQL, Delta Lake, and Unity Catalog • Knowledge of OpenTelemetry, LangSmith, and MLflow • Experience with IAM, OAuth/OIDC, RBAC, and security compliance

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