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Remote Chatbot Manager Jobs (NOW HIRING)

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC ...

AWS Connect Developer

Dallas, TX · Remote

$60 - $65/hr

Remote Compensation : 50-60$/Hr on C2C/1099 Work Authorization: H1B, GC, USC Overview We are ... chatbot automation. · Collaborate with business teams to automate workflows (lead management ...

... and manage AI agents through a seamless web application. You'll also develop reusable chatbot ... Remote #senior

This is a salaried, exempt role that is remote eligible, except for the New York City metro area ... Lead delivery in partnership with the Chatbot Strategy Manager, Sr. Manager of Tooling, Analytics ...

... and manage AI agents through a seamless web application. You'll also develop reusable chatbot ... Remote #senior Employment Type: OTHER

Cloud (AWS) Engineer (DevOps Manager)

Herndon, VA · Remote

$54 - $74/hr

Remote Job: Cloud (AWS) Engineer (DevOps Manager) Schedule:Full-time Shift: Day Job Description ... Maintaina chatbot platform components. Education and Experience: * AWS services for compute/storage ...

DevOps

$54 - $74/hr

Coding - To write a Chatbot in GO, Must take Python test * Terraform - Modules of Terraform ... MUST have good and resent Golang Remote Software Engineer DevOps This position is heavily utilizing ...

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Remote Chatbot Manager information

What is the difference between Remote Chatbot Manager vs Remote Customer Support Specialist?

AspectRemote Chatbot ManagerRemote Customer Support Specialist
CredentialsExperience in AI, chatbot platforms, and project managementCustomer service skills, communication, and problem-solving
Work EnvironmentOversees chatbot development and deployment, collaborates with tech teamsHandles customer inquiries via chat, email, or phone
Industry UsageTech, e-commerce, and service industriesRetail, telecom, and service sectors
Search & Comparison IntentUnderstanding chatbot management roles and responsibilitiesCustomer support roles and daily tasks

The Remote Chatbot Manager focuses on overseeing chatbot development, deployment, and optimization, often working with technical teams. In contrast, the Remote Customer Support Specialist directly interacts with customers to resolve issues. Both roles are vital in customer engagement but differ in responsibilities, skills, and work environment.

More about Remote Chatbot Manager jobs
What cities are hiring for Remote Chatbot Manager jobs? Cities with the most Remote Chatbot Manager job openings:
What are the most commonly searched types of Remote Chatbot jobs? The most popular types of Remote Chatbot jobs are:
What states have the most Remote Chatbot Manager jobs? States with the most job openings for Remote Chatbot Manager jobs include:

AI Engineer Developer

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Posted 8 days ago


Job description

About NationMind LLC:
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Engineer Developer to join our growing team.
Role: AI Engineer Developer
Location: Houston TX or US Remote
Duration: 6-12 months
Skills: AI and Automation~AI Agents
Experience Required: 6-8 Years
Role Descriptions:
Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
Experience building APIs, workflow services, integrations, automation scripts, and event-driven applications.
Strong API integration skills including REST, GraphQL, webhooks, authentication, authorization, and scheduled automation jobs.
Hands-on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations.
Experience integrating with ticketing and workflow tools such as Jira, Zendesk, ServiceNow, Confluence, or similar systems.
Experience with orchestration frameworks, workflow engines, agent runtimes, or stateful task execution.
Hands-on experience building GenAI applications, AI agents, RAG workflows, tool-calling systems, or chatbot platforms.
Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies.
Understanding of MCP concepts, tool registries, connector libraries, skill version management, and secure tool invocation.
Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and agent guardrails.
Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, secrets management, and enterprise governance requirements.
Ability to build secure, auditable, and reliable operational tooling for enterprise users.
Familiarity with logging, monitoring, tracing, metrics, dashboards, retries, error handling, operational observability, and incident troubleshooting.
Good knowledge of automated testing, CI/CD pipelines, deployment practices, release management, rollback strategies, and operational support processes.
Strong understanding of secure coding practices, data privacy, access controls, and enterprise governance standards.
Key Technical Skills:
Python, TypeScript, Node.js, Java, Go
AI Agents & GenAI Applications
RAG (Retrieval-Augmented Generation)
LLM APIs (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI)
REST, GraphQL, Webhooks
Workflow Orchestration & Agent Runtimes
MCP (Model Context Protocol)
Function Calling & Structured Outputs
Prompt Engineering
Slack Apps/Bots Integration
Jira, Zendesk, ServiceNow, Confluence
IAM (Okta, SSO, RBAC, ABAC)
CI/CD, DevOps, Observability
Difference from the AI Architect Lead Role
AI Architect Lead (10+ years): Architecture, governance, platform strategy, leadership, enterprise AI solution design.
AI Engineer Developer (68 years): Hands-on development, integrations, AI agent implementation, workflow automation, and GenAI application development.

This is a remote position.