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Remote Ai Agent Developer Jobs (NOW HIRING)

Although the position will be remote, there might be some occasional travel to ERP Suites ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

Although the position will be remote, there might be some occasional travel to ERP Suites ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

In this role, you'll partner with Forward Deployed Engineers (FDEs) who will support the build ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

In this role, you'll partner with Forward Deployed Engineers (FDEs) who will support the build ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

The engineer works directly with customers and internal stakeholders to translate complex business ... AI Agent Design & Development * Design and build AI-driven virtual agents that automate customer ...

AI Agent Design & Development * Design and build AI-driven virtual agents that automate customer service workflows across digital and voice channels. * Develop intelligent automation using the NiCE ...

As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost ... Strong technical communication, ideally with experience collaborating in an asynchronous remote ...

AI Agent Product Manager

$160K - $200K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

[Remote] Principal Software Engineer - AI

$138K - $185K/yr

Responsibilities : • Build AI Agent Frameworks: Develop the internal agents, LLMs, logic and ... Engineer robust, full-stack enterprise web components, ensuring high performance and security ...

[Remote] Principal Software Engineer - AI

$138K - $185K/yr

Responsibilities : • Build AI Agent Frameworks: Develop the internal agents, LLMs, logic and ... Engineer robust, full-stack enterprise web components, ensuring high performance and security ...

AI Agent Experience Designer

Chicago, IL · On-site +1

$120K - $135K/yr

POSITION SUMMARY The Prompt Engineer will be responsible for optimizing, evaluating, and advancing ... Our remote friendly culture offers flexibility and the comfort of working from home; while also ...

[Remote] Principal Software Engineer - AI

$138K - $185K/yr

Responsibilities : • Build AI Agent Frameworks: Develop the internal agents, LLMs, logic and ... Engineer robust, full-stack enterprise web components, ensuring high performance and security ...

Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

The Software Engineer - AI will contribute to AI agent development and collaborate with cross-functional teams on the implementation of production-grade AI systems. This role supports Engineering ...

Senior Software Engineer, AI

$125K - $165K/yr

The Senior Software Engineer - AI will serve as a subject matter expert (SME) in AI agent development and will work with cross-functional teams for successful implementation of production-grade AI ...

About the Role Hello Patient is seeking a Prompting & AI Agent Research Engineer to bring structure and rigor to how we advance our AI. We build Mia, an AI voice agent that handles inbound patient ...

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Remote Ai Agent Developer information

See salary details

$29K

$47.9K

$99.5K

How much do remote ai agent developer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote ai agent developer in the United States is $47,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Agent Developer vs Remote Chatbot Developer?

AspectRemote Ai Agent DeveloperRemote Chatbot Developer
Required SkillsAI, machine learning, NLP, programmingChatbot platforms, scripting, UI design
Work EnvironmentAI development teams, tech companiesCustomer service, tech firms, startups
Industry UsageAI-driven virtual assistants, complex AI systemsCustomer support bots, simple conversational interfaces

Remote Ai Agent Developers focus on creating advanced AI-powered virtual assistants using machine learning and NLP, often working on complex AI systems. In contrast, Remote Chatbot Developers typically build conversational interfaces for customer support or marketing, emphasizing scripting and UI design. While both roles involve AI and programming, the scope and complexity differ, with Ai Agent Developers working on more sophisticated AI solutions.

What are Remote AI Agent Developers?

Remote AI Agent Developers are software professionals who design, build, and maintain artificial intelligence agents while working from a remote location. These developers use programming languages, machine learning frameworks, and AI technologies to create systems that can perform tasks autonomously or assist users. Their work may include developing chatbots, virtual assistants, recommendation engines, or other intelligent systems. Working remotely allows them to collaborate with teams and clients worldwide, often using cloud-based tools and platforms.

What are some common challenges faced by Remote AI Agent Developers, and how can they be addressed?

Remote AI Agent Developers often encounter challenges such as coordinating across different time zones, ensuring smooth communication with distributed teams, and managing project dependencies asynchronously. To address these, it's important to use collaborative tools (like Slack, GitHub, or Jira), schedule regular check-ins, and document development processes thoroughly. Building strong relationships through proactive communication and adopting agile practices can also help streamline workflows and maintain productivity in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote AI Agent Developer, and why are they important?

To thrive as a Remote AI Agent Developer, you need a strong background in computer science, machine learning, and programming languages such as Python, along with experience in developing and deploying AI models. Proficiency with AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and familiarity with version control systems is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication help you collaborate and deliver results in distributed teams. These skills ensure the successful creation, deployment, and maintenance of intelligent agents that meet organizational goals in a remote work environment.
More about Remote Ai Agent Developer jobs
What cities are hiring for Remote Ai Agent Developer jobs? Cities with the most Remote Ai Agent Developer job openings:
What are the most commonly searched types of Ai Agent Developer jobs? The most popular types of Ai Agent Developer jobs are:
What states have the most Remote Ai Agent Developer jobs? States with the most job openings for Remote Ai Agent Developer jobs include:
Infographic showing various Remote Ai Agent Developer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.
AI Platform Engineer

Other

Posted 4 days ago


Job description

ERP Suites develops Enterprise AI agents and orchestration solutions hosted on Oracle Cloud Infrastructure (OCI). Our products automate complex finance, supply chain, and operational workflows for enterprise customers.
We are seeking an AI Platform Engineer who thrives in a high-ownership environment and is passionate about building, operating, and scaling the infrastructure that powers next-generation AI solutions.
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. Although the position will be remote, there might be some occasional travel to ERP Suites facilities or customer sites.
Position Summary:
The AI Platform Engineer will be responsible for the platform foundation that supports ERP Suites' AI products and customer environments. This role partners closely with the AI Architect and Product Team to deploy, manage, secure, and optimize Oracle Cloud Infrastructure environments, automation pipelines, and AI agent deployment frameworks.
The ideal candidate is a hands-on cloud and infrastructure professional with experience in DevOps, AI platform operations, automation, security, observability, and enterprise cloud architecture.
Daily Activities:
• Monitor OCI service health, logs, dashboards, and alerts.
• Troubleshoot platform issues and customer environment concerns.
• Support development teams with infrastructure questions and deployment needs.
• Manage CI/CD pipeline performance and resolve deployment failures.
• Execute provisioning, onboarding, and configuration requests.
• Update documentation and architecture artifacts as infrastructure evolves.
• Participate in standups, planning meetings, and technical reviews.
Monthly Activities:
• Review OCI consumption reports, billing dashboards, and cost optimization opportunities.
• Conduct IAM, security, and credential audits.
• Evaluate reference architecture environments for configuration drift and required updates.
• Refine deployment methodologies, runbooks, and onboarding documentation.
• Assess Oracle OCI roadmap updates and emerging platform capabilities.
• Contribute technical documentation, architecture guidance, and internal knowledge-sharing content.
Key Responsibilities:
Cloud Infrastructure & DevOps:
• Provision, configure, and manage Oracle Cloud Infrastructure (OCI) environments, including computer, networking, load balancers, API gateways, IAM, containers, and related services.
• Manage OCI Functions, Autonomous Database Serverless (ADB-S), and containerized deployment environments.
• Build, maintain, and optimize OCI DevOps pipelines, artifact repositories, and deployment automation.
• Support OCI Goldengate planning, configuration, and data replication architectures.
• Develop automation solutions that improve reliability, scalability, and operational efficiency.
AI Agent Deployment & Operations:
• Own customer-facing AI agent deployment methodologies, runbooks, environment configurations, and deployment standards.
• Coordinate customer environment provisioning, compartment creation, IAM setup, and onboarding activities.
• Manage AI agent environments across development, testing, and production stages.
• Support development teams through infrastructure reviews, deployment guidance, and technical troubleshooting.
• Maintain and extend ERP Suites' enterprise reference architectures and deployment frameworks.
Monitoring, Observability & FinOps:
• Build and maintain Grafana dashboards and reporting solutions for operational monitoring and customer billing.
• Develop ETL processes that aggregate OCI cost and consumption data.
• Monitor platform health, performance, reliability, and resource utilization.
• Diagnose and resolve observability gaps before they impact customer environments.
• Ensure accurate reporting and billing visibility across customer environments.
Security & Governance:
• Audit OCI IAM policies, Vault usage, credential management processes, and security controls.
• Maintain TLS certificate automation using ACME, Let's Encrypt, and OCI Load Balancer integrations.
• Support secure architecture reviews and infrastructure compliance initiatives.
• Ensure proper access controls, credential rotation, and security best practices across environments.
Technical Architecture & Documentation:
• Create and maintain architecture diagrams, infrastructure maps, deployment workflows, and technical documentation.
• Document automation scripts, deployment processes, and operational procedures.
• Participate in technical planning sessions with customers and internal stakeholders.
• Identify infrastructure risks and recommend scalable solutions.
Qualifications:
Required:
• Bachelor's degree in computer science, Information Systems, Engineering, or a related field.
• 2+ years of experience in AI Platform Engineering, Infrastructure Engineering, MLOps, DevOps, or Cloud Engineering.
• Strong experience with Oracle Cloud Infrastructure (OCI), including:
• Experience deploying and supporting AI agents, microservices, or cloud-native applications.
• Experience with monitoring and observability platforms such as Grafana, LangFuse, OCI Logging, and Metrics APIs.
• Knowledge of TLS, DNS, ACME protocols, Let's Encrypt, and certificate automation.
• Experience with CI/CD tools, source control, deployment pipelines, and artifact management.
• Proficiency in Python, SQL, and Bash scripting.
• Strong technical writing, documentation, and architecture diagramming skills.
• Excellent communication and collaboration skills.
Core Competencies:
• Cloud infrastructure architecture and administration
• AI platform operations and deployment
• DevOps and CI/CD automation
• Monitoring, observability, and FinOps
• Security architecture and identity management
• Infrastructure-as-Code and automation
• Technical troubleshooting and root cause analysis
• Customer-facing technical consulting
• Documentation and knowledge transfer
Preferred Qualifications:
• Oracle Cloud certifications such as OCI Architect Professional or OCI DevOps Professional.
• Experience supporting multi-tenant SaaS or managed-service environments.
• Exposure to large language model (LLM) infrastructure and agentic AI frameworks such as LangChain, MCP, or similar technologies.
• Experience implementing AI observability platforms such as LangFuse, MLflow, or equivalent tools.
• Familiarity with JD Edwards EnterpriseOne, including CNC, AIS, Orchestrator Studio, or security administration.
• Experience participating in Oracle Partner Network, Oracle ACE, or similar technical communities.
Company:
At ERP Suites, our focus is on helping our customers realize IT's potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America's top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:

  • Make Customers Successful
  • Be An Advisor
  • Be a teacher
  • Be a Coach
  • Have Fun
  • Do the Right Things for the ERP Suites Family
  • Adapt Quickly to Changing Roles and Environments
This is Where IT Change Starts.
  • With questions.
  • With problems that need to be solved.
  • With business needs, both immediate and long term.
  • Because technology and its impact on business isn't getting any simpler.
  • That's why we exist.
  • To answer the tough questions.
  • To find a solution to every problem-no matter the size or scope.
  • And to help companies not just identify IT's potential, but realize IT