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