Agentic Platform Engineer
Daksh JainUnited StatesSENIORPosted 2h ago
PythonAsync PythonFastAPIREST APIspytestAgentic AILLMLangGraphOpenAI Agents SDKMicrosoft Agent FrameworkClaude Agent SDKModel Context ProtocolMCP ClientsMCP ServersTool IntegrationAuthenticationOAuth 2.0OpenID ConnectJWTEntra IDRBACAI GatewayPolicyAzure API ManagementLiteLLMKongOpen Policy AgentDistributed SystemsMicroservicesQueuesRetriesCachingFault ToleranceSQLCosmos DBRedisAzure AI SearchVector DatabasesAI EvaluationTestingRAGASDeepEvalPromptfooLLM EvaluationObservabilityOpenTelemetryLangfuseLangSmithCloudDevOpsAzureDockerKubernetesHelmTerraformAzure DevOpsAI Coding ToolsClaude CodeCodexGitHub CopilotCursor
About the Role
We are looking for an Agentic Platform Engineer to join our team in the financial services domain. This role focuses on developing and maintaining advanced AI and LLM platforms.
Key Responsibilities
• Design and implement RESTful APIs using Python and FastAPI
• Develop and integrate agentic AI solutions using LangGraph, OpenAI Agents SDK, and Microsoft Agent Framework
• Implement Model Context Protocol (MCP) for clients, servers, tool integration, and authentication
• Ensure identity and security through OAuth 2.0, OpenID Connect, JWT, Entra ID, and RBAC
• Develop AI gateway and policy solutions using Azure API Management, LiteLLM, Kong, and Open Policy Agent
• Design and implement distributed systems with microservices, queues, retries, caching, and fault tolerance
• Work with various databases including SQL, Cosmos DB, Redis, Azure AI Search, and vector databases
• Conduct AI evaluation and testing using RAGAS, DeepEval, Promptfoo, and LLM Evaluation
• Implement observability solutions using OpenTelemetry, Langfuse, and LangSmith
• Utilize cloud and DevOps tools such as Azure, Docker, Kubernetes, Helm, Terraform, and Azure DevOps
• Leverage AI coding tools like Claude Code, Codex, GitHub Copilot, and Cursor
Requirements
• 9+ years of experience in backend development
• Strong proficiency in Python, including Async Python, FastAPI, and REST APIs
• Experience with agentic AI and LLM technologies
• Knowledge of Model Context Protocol and its implementation
• Understanding of identity and security protocols
• Experience with AI gateway and policy development
• Familiarity with distributed systems and microservices
• Proficiency with various databases and AI evaluation tools
• Experience with observability and cloud/DevOps tools
• Experience with AI coding tools
Preferred Skills
• Azure API Management Policy Development
• ServiceNow & Azure API Center Integration
• Workflow Engines – Temporal, Camunda, Flowable, Kestra
• Internal SDKs, Python Packages & Developer Tooling
• Financial Services / Regulated Industry Experience