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Agent Engineer Jobs in Georgia (NOW HIRING)

Patent Agent

Atlanta, GA · On-site

$100 - $140/hr

The Patent Agent will prepare original patent applications, prepare responses to office actions ... The ideal candidate must be registered with the USPTO, have a degree in Software Engineering ...

The Patent Agent will prepare original patent applications, prepare responses to office actions ... The ideal candidate must be registered with the USPTO, have a degree in Software Engineering ...

The Patent Agent will prepare original patent applications, prepare responses to office actions ... The ideal candidate must be registered with the USPTO, have a degree in Software Engineering ...

Patent Agent

Atlanta, GA · On-site

$171K - $216K/yr

The Patent Agent will prepare original patent applications, prepare responses to office actions ... The ideal candidate must be registered with the USPTO, have a degree in Software Engineering ...

... agent workflows, and model evaluation. The work is hands-on and empirical: you run experiments ... You will work closely with the Senior AI Engineer and broader engineering team, taking increasing ...

EE/CS Patent Agent

Atlanta, GA · On-site

$140K - $240K/yr

EE/CS Patent Agent - Atlanta/Other Locations Join a Top Intellectual Property Law Firm Group: A ... Degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related ...

EE/CS Patent Agent

Atlanta, GA · On-site

$140 - $240/hr

Atlanta, United States | Posted on 08/20/2026 EE/CS Patent Agent - Atlanta/Other Locations Join a ... Requirements Degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or ...

Showing results 21-40

Agent Engineer information

See Georgia salary details

$4

$14

$20

How much do agent engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for agent engineer in Georgia is $14.48, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $16.25 per hour, depending on experience, location, and employer.

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.

What cities in Georgia are hiring for Agent Engineer jobs?

Cities in Georgia with the most Agent Engineer job openings:

Infographic showing various Agent Engineer job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, 7% Contract, and 3% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $30,114 per year, or $14.5 per hour.

Agentic AI Engineer (LLM Orchestration & Multi-Agent Systems) - Q3-2026

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 24 days ago


Job description

Overview:
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
Job Summary: The chatbot era is over-enterprises now want software that acts, not just answers. R2 Technologies is seeking an Agentic AI Engineer to design and ship production AI agents that plan, reason, call tools, and complete multi-step business workflows end to end. You will work across the full lifecycle of an agent-orchestration design, tool integration, memory and context management, evaluation, and production deployment-building systems that power enterprise client applications and our own SmartEnt platform.
Key Responsibilities:
  • Design and build production AI agents and multi-agent orchestration workflows using LangGraph, LangChain, CrewAI, or the Claude Agent SDK.
  • Implement agent reasoning, planning, tool/function calling, and memory and state management under real token, latency, and cost constraints.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models to ground agents in enterprise data.
  • Integrate Large Language Models-Anthropic Claude, OpenAI GPT, Google Gemini-into enterprise applications via AWS Bedrock, Azure OpenAI, or direct API and MCP-based tool integration.
  • Develop programmatic agent evaluations, including offline and online metrics, trajectory scoring, and failure-mode analysis to move agents from demo to dependable.
  • Implement guardrails, tracing, and observability to ensure agent decisions are auditable and compliant with enterprise security and governance standards.

Qualifications:
  • 3 years of experience in AI/ML Engineering, Backend Engineering, or applied LLM development.
  • Strong hands-on proficiency in Python, with working knowledge of Java, TypeScript, or Go.
  • Hands-on experience with agentic frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Google ADK, or the Claude Agent SDK.
  • Proven experience building RAG architectures with vector databases (Pinecone, Weaviate, ChromaDB, FAISS, or Milvus).
  • Strong understanding of prompt engineering, context engineering, embeddings, and model evaluation.
  • Experience deploying containerized services on AWS, Azure, or GCP using Docker, Kubernetes, and CI/CD pipelines.

Skills:
Agentic AI, LangGraph, LangChain, Python, RAG, MCP, Claude, OpenAI, Vector Databases, AWS Bedrock, Multi-Agent Systems
Skills:
Agentic AI,LangGraph,LangChain,Python,RAG,Multi-Agent Systems,LLM Integration,Vector Databases,Prompt Engineering