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Remote Ai Agent Developer Jobs in Atlanta, GA (NOW HIRING)

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to ...

AI Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Biostatistician

South Fulton, GA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to ...

Biostatistician

Atlanta, GA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to ...

Biostatistician

Sandy Springs, GA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... agent-based workflows * Build and evolve semantic and analytical layers that power tools like ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... agent-based workflows * Build and evolve semantic and analytical layers that power tools like ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Lead AI Engineer

Atlanta, GA · Remote

$98K - $129K/yr

Contract REMOTE GC/USC 7+ years in AI/ML and data engineering, expertise in Agentic AI frameworks ... Build and optimize LLM pipelines, agent orchestration frameworks, and memory systems using vector ...

Lead AI Engineer

Atlanta, GA · Remote

$98K - $129K/yr

Contract REMOTE GC/USC 7+ years in AI/ML and data engineering, expertise in Agentic AI frameworks ... Build and optimize LLM pipelines, agent orchestration frameworks, and memory systems using vector ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

... agent based automation frameworks, to transform how the Analytics & Reporting team delivers ... This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ...

Showing results 21-40

Remote Ai Agent Developer information

See Atlanta, GA salary details

$27.9K

$46.1K

$95.7K

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

As of Sep 5, 2026, the average yearly pay for remote ai agent developer in Atlanta, GA is $46,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $49,000.00 per year, depending on experience, location, and employer.

What is a remote AI agent developer?

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 the key skills and qualifications needed to thrive as a remote AI agent developer?

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.

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 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.

How much do remote AI agent developers make?

Remote AI agent developers typically earn between $80,000 and $150,000 annually, depending on experience, skills in machine learning and programming, and the complexity of projects. Senior roles or those with specialized expertise can earn higher salaries, especially in tech-focused companies or industries.

What are the most commonly searched types of Ai Agent Developer jobs in Atlanta, GA?

The most popular types of Ai Agent Developer jobs in Atlanta, GA are:

What are popular job titles related to Remote Ai Agent Developer jobs in Atlanta, GA?

For Remote Ai Agent Developer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Agent Developer jobs in Atlanta, GA look for?

The top searched job categories for Remote Ai Agent Developer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Ai Agent Developer jobs?

Cities near Atlanta, GA with the most Remote Ai Agent Developer job openings:

Infographic showing various Remote Ai Agent Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $46,093 per year, or $22.2 per hour.

US LBM Cybersecurity Engineer - Azure DevSecOps

US LBM Service Co

Atlanta, GA • Remote

$115K - $130K/yr

Full-time

Posted 9 days ago


Key responsibilities

  • Implement and manage Microsoft Defender for Cloud across Azure workloads, including security posture management and workload protection.

  • Own the DevSecOps program by integrating security tools like Snyk into CI/CD pipelines and maintaining Infrastructure as Code with embedded security controls.

  • Partner with application developers to embed security into the software development lifecycle, including code review, secure coding guidance, and vulnerability remediation.


US LBM rating

7.1

Company rating: 7.1 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

7th of 13 rated diy builders merchants


Job description

US LBM is one of the leading and fastest growing distributors of specialty building materials in the United States, with a team of over 13,000 employees located throughout the country. Since our founding in 2009, we have acquired over 100 companies and have expanded to more than 450 locations serving 37 states. US LBM is a progressive organization that promotes a unique culture that focuses on the value of its customers and associates. Developing our people is critical to our strategy and fostering our culture of empowerment.

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A Brief Overview

The US LBM Cybersecurity Engineer – Azure DevSecOps is part of the Cybersecurity Solutions team and is responsible for securing cloud-native application workloads across their full lifecycle — from code and pipeline through cloud runtime and the data platforms they integrate with. This role requires a strong software engineering background: the ability to read and reason code, work fluently in CI/CD pipelines, and understand how modern applications are built, deployed, and integrated with cloud data services.

As an engineering-first security role, candidates should come from a developer, DevOps, or platform engineering background with a demonstrated knowledge in security. This role owns cloud-native application protection, DevSecOps pipeline security, and the security of data platforms — both Azure-native services such as Cosmos DB and third-party that integrate with Azure workloads, as well as the security of AI-assisted development tools and AI agent platforms increasingly embedded in the software development lifecycle.

Pay Range: $115k - $130k


Key Responsibilities:

  • Implement and manage Microsoft Defender for Cloud (CNAPP) across Azure workloads, covering both cloud security posture management (CSPM) and cloud workload protection (CWPP) for virtual machines, Azure Kubernetes Service (AKS) containers, and serverless functions.
  • Own the DevSecOps program using Snyk for SAST, DAST, and software composition analysis (SCA), integrated directly into CI/CD pipelines (Azure DevOps, GitHub Actions).
  • Write and maintain Infrastructure as Code (Terraform, Bicep, ARM templates) with security controls embedded by default — policy-as-code and guardrails rather than after-the-fact review.
  • Secure data platform integrations between Azure workloads and downstream data services, including Azure-native platforms (Cosmos DB), third-party managed databases (MongoDB Atlas), streaming platforms (RedPanda), and SaaS data warehouses (Snowflake), covering identity/access boundaries, encryption, and data flow security.
  • Secure containerized workloads running on Azure Kubernetes Service (AKS), including cluster hardening, workload identity, network policy, and image scanning integrated into the CI/CD pipeline.
  • Partner directly with application developers to embed security into the software development lifecycle — code review participation, secure coding guidance, and remediation support for vulnerabilities identified by Snyk.
  • Build and maintain custom tooling, scripts, and APIs to automate security checks, policy enforcement, and reporting across the cloud-native environment.
  • Conduct threat modeling for cloud-native workloads and their data integrations, developing corresponding detection and automation use cases.
  • Evaluate and integrate new cloud-native and data platform technologies as the organization's architecture evolves, including technology integration from mergers and acquisitions.
  • Secure the adoption of AI-assisted development tools (e.g., Cursor, Claude Code) and AI agent/model platforms (e.g., Azure AI Foundry), including governance of code and secrets exposure, access scoping for AI coding agents, and safe integration of AI-generated code into the CI/CD pipeline.
  • Ensure DevSecOps and cloud-native practices align with Zero Trust and NIST Cybersecurity Framework principles.
  • May design and build internal web applications for the Cybersecurity Solutions team, such as security reporting dashboards, self-service tooling, and workflow automation portals.

Required and Preferred Knowledge, Skills, and Abilities:

  • Prior experience as a software engineer, DevOps engineer, or platform engineer — hands-on coding experience is required, not just security tooling experience.
  • Proficiency in at least one modern programming language (Python, C#/.NET, Go, or JavaScript/TypeScript) — able to read, write, and debug application code.
  • Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or similar) and Infrastructure as Code (Terraform, Bicep, or ARM templates).
  • Experience integrating or securing cloud-native data platforms — Cosmos DB, MongoDB Atlas, RedPanda, Snowflake, Databricks, or similar managed data and streaming services.
  • Familiarity with Microsoft Defender for Cloud or comparable CNAPP/CWPP/CSPM tooling.
  • Experience with Kubernetes/Azure Kubernetes Service (AKS) — container orchestration, cluster security configuration, and securing containerized workloads.
  • Understanding of the security implications of AI-assisted software development — including AI coding assistants (Cursor, Claude Code) and AI agent/model platforms (Azure AI Foundry) — and how to govern their access to code, secrets, and infrastructure.
  • Experience with SAST/DAST/SCA tools (Snyk preferred; Checkmarx, Veracode, or similar acceptable).
  • Understanding of API design, authentication (OAuth2, service principals, managed identities), and secure service-to-service integration patterns.
  • Ability to communicate security requirements to developers in terms that fit their existing workflow, rather than requiring separate security-only processes.
  • Strong understanding of security frameworks such as Zero Trust and the NIST Cybersecurity Framework.
  • Able to support multiple concurrent workstreams in a highly matrix, fast-paced, multi-site organization experiencing rapid growth.
  • Strong interpersonal and communication skills, with a collaborative, developer-friendly approach to security.
  • Must be a self-starter with a builder's mindset — comfortable writing tools and automation rather than relying solely on vendor dashboards.
  • Travel required to various operating locations along with business-related meetings & conferences.
  • Physical demands include sitting for extended periods of time, standing and walking, bending or stooping, lifting up to 25 pounds frequently and up to 50 pounds on occasion. Lifting equipment such as PC CPU's and monitors and transporting to various locations.

Systems Experience:

  • Cloud-Native Application Protection: Microsoft Defender for Cloud (CNAPP, CWPP, CSPM), Azure Policy.
  • DevSecOps / Application Security: Snyk (SAST, DAST, SCA), Azure DevOps, GitHub Actions.
  • Infrastructure as Code: Terraform, Bicep, ARM templates.
  • Data Platforms: Azure Cosmos DB, MongoDB Atlas, RedPanda, Snowflake, Azure Data Factory, or similar data integration/pipeline and streaming tooling.
  • Programming & Scripting: Python, C#/.NET, Go, or JavaScript/TypeScript; PowerShell for Azure automation.
  • Cloud & Infrastructure: Microsoft Azure (compute, storage, networking, identity), Azure Kubernetes Service (AKS).
  • AI-Assisted Development & Agent Platforms: Cursor, Claude Code, Azure AI Foundry, GitHub Copilot, or similar AI coding assistants and agent platforms.
  • APIs & Integration: REST/GraphQL API design, OAuth2, managed identities, service principals.
  • Compliance & Governance: Familiarity with NIST CSF, Zero Trust, and cloud security benchmarks.

Qualifications:

  • Minimum Education required - Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent experience required.
  • Minimum 3-5 years of professional software development or DevOps engineering experience, with at least 1-2 years focused on security.
  • Direct experience with Snyk (or equivalent SAST/DAST/SCA), Microsoft Defender for Cloud, and at least one cloud-native data platform (Cosmos DB, MongoDB Atlas, RedPanda, Snowflake, or similar) required.
  • Relevant certifications preferred (e.g., AZ-204 Developer Associate, AZ-500, CKA/CKAD, Snyk certifications, Terraform Associate).

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Click Here for Information Regarding Our Benefits


US LBM Holdings, LLC, is an equal-opportunity employer. We do not discriminate on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, marital status, military status, order of protection status, or any other legally recognized protected basis under federal, state, or local law.


What US LBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About US LBM

Sourced by ZipRecruiter

Industry

Construction materials wholesalers and building materials and garden equipment dealers

Company size

5,001 - 10,000 Employees

Headquarters location

Buffalo Grove, IL, US

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