AI Automation Engineer
I-Flow
Job title:AI Automation Engineer
Location: Local to Charlotte,NC Only!
Duration:6 Months
Experience Required: 4-6 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
Location: Local to Charlotte,NC Only!
Duration:6 Months
Experience Required: 4-6 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
Vacancy posted more than 2 months ago
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