Information Technology_USA - USA_Developer
Engineering
Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/Hr(Max)
MSP Owner: Shilpa Bajpai
Location: Denver, CO (Zip Code-80221)- REMOTE
Duration: 6 months
Requisition ID: 10899783
Role: Senior AI Automation Engineer (Gen AI Developer)
Skills: AI & Gen AI - Products & Tools
Experience Required: 2-4 Years
Role Descriptions:
Generative AI and enterprise agent-based solutions| focusing on the design| development| and deployment of scalable AI applications.
Designing and developing AI Agents and enterprise automation workflows to address business use cases.
Building and integrating MCP (Model Context Protocol) servers| tools| and connectors to enable secure access to enterprise applications| APIs| databases| and external systems.
Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations.
Creating and supporting Python-based microservices and APIs that integrate AI capabilities with enterprise platforms.
Deploying| managing| and troubleshooting applications using Docker and Kubernetes (AKS| EKS| and GKE) in cloud-native environments.
Working across Azure| AWS| and GCP to build secure| scalable| and highly available solutions.
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/Hr(Max)
MSP Owner: Shilpa Bajpai
Location: Denver, CO (Zip Code-80221)- REMOTE
Duration: 6 months
Requisition ID: 10899783
Role: Senior AI Automation Engineer (Gen AI Developer)
Skills: AI & Gen AI - Products & Tools
Experience Required: 2-4 Years
Role Descriptions:
Generative AI and enterprise agent-based solutions| focusing on the design| development| and deployment of scalable AI applications.
Designing and developing AI Agents and enterprise automation workflows to address business use cases.
Building and integrating MCP (Model Context Protocol) servers| tools| and connectors to enable secure access to enterprise applications| APIs| databases| and external systems.
Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations.
Creating and supporting Python-based microservices and APIs that integrate AI capabilities with enterprise platforms.
Deploying| managing| and troubleshooting applications using Docker and Kubernetes (AKS| EKS| and GKE) in cloud-native environments.
Working across Azure| AWS| and GCP to build secure| scalable| and highly available solutions.