About this role
Design and build Python-based AI services (LLM integrations, RAG, agentic and human-in-the-loop workflows) and implement a reusable enterprise AI/agent services layer, partnering with enterprise developers and compliance to ensure AI outputs are accurate, explainable, auditable, and safe for use in a regulated environment.
Skills for this role
PythonLarge Language Models (LLMs)Prompt engineeringRetrieval-augmented generation (RAG)EmbeddingsVector searchVector databasesAgent frameworksAgent orchestrationHuman-in-the-loop workflowsFunction/tool callingLLM evaluationAutomated evaluation pipelinesModel Context Protocol (MCP)MCP serversREST APIsgRPCMessagingJava integrationSpring BootKafkaEnterprise service busesVersion controlTestingCI/CDSecure coding practicesGCPAWSDockerKubernetes``Data privacy