Local to Charlotte Only!
JD
Must Have Technical/Functional Skills
• Python (automation, backend services).
• JavaScript/TypeScript
• LangChain and/or LangGraph hands-on experience.
• Docker and container-based deployments.
• AWS Cloud Practitioner-level knowledge with hands-on exposure.
Roles & Responsibilities
Design, develop, and support cloud-native automation and AI agent workflows using Python, RPA,
and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized
architectures.Responsibilities
Build AI agents using LangChain and LangGraph to orchestrate tools, APIs, and workflows.
Integrate automations with enterprise systems via REST APIs and databases.
Containerize services using Docker and support CI/CD pipelines.
• Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
• Implement logging, error handling, and basic monitoring.
• Collaborate with onshore architects and follow defined architecture standards
Role Descriptions: Design| develop| and support cloud-native automation and AI agent workflows using Python| RPA| and LLM orchestration frameworks (LangChain / LangGraph)| deployed on AWS using containerized architectures.ResponsibilitiesBuild AI agents using LangChain and LangGraph to orchestrate tools| APIs| and workflows.Integrate automations with enterprise systems via REST APIs and databases.Containerize services using Docker and support CI/CD pipelines.Deploy and operate solutions on AWS (IAM| S3| Lambda| ECS/Fargate| CloudWatch).Implement logging| error handling| and basic monitoring.Collaborate with onshore architects and follow defined architecture standards
Essential Skills: Design| develop| and support cloud-native automation and AI agent workflows using Python| RPA| and LLM orchestration frameworks (LangChain / LangGraph)| deployed on AWS using containerized architectures.ResponsibilitiesBuild AI agents using LangChain and LangGraph to orchestrate tools| APIs| and workflows.Integrate automations with enterprise systems via REST APIs and databases.Containerize services using Docker and support CI/CD pipelines.Deploy and operate solutions on AWS (IAM| S3| Lambda| ECS/Fargate| CloudWatch).Implement logging| error handling| and basic monitoring.Collaborate with onshore architects and follow defined architecture standards
Desirable Skills:
Keyword:
Skills: Digital : Python
Experience Required: 4-6, Project Code :
JD
Must Have Technical/Functional Skills
• Python (automation, backend services).
• JavaScript/TypeScript
• LangChain and/or LangGraph hands-on experience.
• Docker and container-based deployments.
• AWS Cloud Practitioner-level knowledge with hands-on exposure.
Roles & Responsibilities
Design, develop, and support cloud-native automation and AI agent workflows using Python, RPA,
and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized
architectures.Responsibilities
Build AI agents using LangChain and LangGraph to orchestrate tools, APIs, and workflows.
Integrate automations with enterprise systems via REST APIs and databases.
Containerize services using Docker and support CI/CD pipelines.
• Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
• Implement logging, error handling, and basic monitoring.
• Collaborate with onshore architects and follow defined architecture standards
Role Descriptions: Design| develop| and support cloud-native automation and AI agent workflows using Python| RPA| and LLM orchestration frameworks (LangChain / LangGraph)| deployed on AWS using containerized architectures.ResponsibilitiesBuild AI agents using LangChain and LangGraph to orchestrate tools| APIs| and workflows.Integrate automations with enterprise systems via REST APIs and databases.Containerize services using Docker and support CI/CD pipelines.Deploy and operate solutions on AWS (IAM| S3| Lambda| ECS/Fargate| CloudWatch).Implement logging| error handling| and basic monitoring.Collaborate with onshore architects and follow defined architecture standards
Essential Skills: Design| develop| and support cloud-native automation and AI agent workflows using Python| RPA| and LLM orchestration frameworks (LangChain / LangGraph)| deployed on AWS using containerized architectures.ResponsibilitiesBuild AI agents using LangChain and LangGraph to orchestrate tools| APIs| and workflows.Integrate automations with enterprise systems via REST APIs and databases.Containerize services using Docker and support CI/CD pipelines.Deploy and operate solutions on AWS (IAM| S3| Lambda| ECS/Fargate| CloudWatch).Implement logging| error handling| and basic monitoring.Collaborate with onshore architects and follow defined architecture standards
Desirable Skills:
Keyword:
Skills: Digital : Python
Experience Required: 4-6, Project Code :