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Agent Engineer Jobs in Atlanta, GA (NOW HIRING)

Senior AI Engineer

Atlanta, GA ยท On-site

$120 - $160/hr

Agent-Based Systems (AgentCore) * Design and build agentic workflows capable of multi-step ... Support and mentor mid-level engineers where needed AI Reliability, Safety & Governance * Design ...

New

The Deployed Engineer will work closely with customer engineering teams to co-architect and build production AI agents, ensuring successful deployment and operation of agent-based applications.

... agent-based applications. Responsibilities : โ€ข Co-architect and co-build production AI agents ... Required : โ€ข 3+ years in a relevant technical role (software engineering, customer engineering ...

Software Engineer

Atlanta, GA ยท On-site +1

$72K - $121K/yr

The role spans full-stack application development, modern data platform engineering, and AI agent delivery -- working across C#/.NET, Azure data services, and Azure AI Foundry to produce reliable ...

... agent-based applications. Responsibilities : โ€ข Co-architect and co-build production AI agents ... Required : โ€ข 3+ years in a relevant technical role (software engineering, customer engineering ...

Python Engineer - GenAI Agents & MCP Servers Contract Location: Remote Key Responsibilities ... Strong experience in Python for tool and agent development. * Hands-on knowledge of MCP framework ...

IP Patent Agent

Atlanta, GA ยท Hybrid

$80K - $130K/yr

IP Patent Agent Benefits: - Salary starting $80K-$130K - Flexible work arrangements, such as ... Engineering - Excellent academic credentials

DevOps Platform Engineer

Duluth, GA ยท On-site

$48.50 - $66.50/hr

The DevOps Engineer is a prerequisite for the AI program - without reliable infrastructure, no agent or model can be deployed to production. Responsibilities * Provision and manage the agentic AI ...

Secure the inference and agent stack: Drive AI/LLM and agentic security architecture across the ... Mentor engineers on both sides and help grow AI security capability across the organization. THE ...

Secure the inference and agent stack: Drive AI/LLM and agentic security architecture across the ... Mentor engineers on both sides and help grow AI security capability across the organization. THE ...

Sr. Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

This role helps define AppFolio's production voice and chat agent pipelines, working at the ... Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability ...

Software Engineer

Atlanta, GA ยท On-site

$72K - $121K/yr

The role spans full-stack application development, modern data platform engineering, and AI agent delivery - working across C#/.NET, Azure data services, and Azure AI Foundry to produce reliable ...

Secure the inference and agent stack: Drive AI/LLM and agentic security architecture across the ... Mentor engineers on both sides and help grow AI security capability across the organization. THE ...

This role partners closely with engineering, R&D, legal, and product teams to evaluate inventions, conduct prior art searches, and ensure timely and accurate patent submissions. The Patent Agent ...

Showing results 41-60

Agent Engineer information

See Atlanta, GA salary details

$5

$16

$23

How much do agent engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for agent engineer in Atlanta, GA is $16.49, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $18.51 per hour, depending on experience, location, and employer.

What does an agent engineer do?

An agent engineer designs, develops, and maintains software agents or systems that automate tasks, monitor environments, or interact with users. They often work with programming languages, automation tools, and may focus on areas like artificial intelligence, cybersecurity, or network management to improve system efficiency and security.

What is the difference between Agent Engineer vs Network Engineer?

AspectAgent EngineerNetwork Engineer
Required CredentialsBachelor's in Computer Science or related, certifications like CCNA, CompTIA Network+Bachelor's in Computer Science, Information Technology, or related, certifications like CCNA, CCNP
Work EnvironmentDeveloping, testing, and maintaining agent software, often in software development teamsDesigning, implementing, and managing network infrastructure, often in IT or telecom environments
Employer & Industry UsageTech companies, software firms, cloud service providersTelecom, IT services, large enterprises with complex networks

Agent Engineers focus on developing and maintaining software agents that facilitate automation and communication within systems, while Network Engineers design and manage network infrastructure. Both roles require technical certifications and often work in tech-driven environments, but their core responsibilities differ significantly.

Infographic showing various Agent Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $34,296 per year, or $16.5 per hour.

Machine Learning Engineer III - AI/ML Product Engineering

4pconsultinginc

Atlanta, GA โ€ข On-site

Contractor

Posted yesterday

New


Job description

Position:         Machine Learning Engineer III – AI/ML Product Engineering

Location:        Atlanta, GA

Duration:        5 Months
Client:            Southern Company Services

 

Only W2 Candidates

Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies.

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform.

Key Responsibilities

  • Design and build modular, reusable AI components and services.
  • Develop scalable RAG solutions using structured and unstructured data.
  • Engineer multi-agent systems for task coordination, workflow automation, and decision support.
  • Build transcription and NLP pipelines for customer-interaction analysis.
  • Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks.
  • Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks.
  • Integrate Databricks for data ingestion, feature engineering, experimentation, and model development.
  • Develop reusable libraries, APIs, templates, and engineering patterns.
  • Partner with MLOps, DevOps, data engineering, architecture, and product teams.
  • Implement monitoring for model performance, data drift, system usage, and operational reliability.
  • Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements.
  • Provide technical guidance to teams adopting shared AI products and components.

Required Qualifications

  • Strong experience developing and deploying production-grade AI and machine learning solutions.
  • Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP.
  • Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning.
  • Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain.
  • Experience deploying scalable models and AI services in cloud environments.
  • Knowledge of APIs, software engineering practices, model monitoring, and MLOps.
  • Experience working with structured and unstructured datasets.
  • Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

  • Experience with Databricks, vector databases, embeddings, and semantic search.
  • Experience building reusable enterprise AI platforms or shared AI services.
  • Knowledge of model evaluation, data drift, observability, and responsible AI.
  • Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment.
  • Utility, energy, or regulated-industry experience is preferred.