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Agent Engineer Jobs in Washington (NOW HIRING)

Job Title: - Senior AI Agent Engineer Location: - McLean, VA - 5 days onsite Employment Type: - Contract Need 10+ years of experience resumes and need locals to VA or nearby location. - We are ...

Senior AI Agent Engineer - Agentic

Reston, VA · On-site

$108K - $149K/yr

AI Engineer with expertise building agentic software development platforms using AWS, Strands Agents, Bedrock, Neptune, RDS, Step Functions, and Python. Experienced in code understanding ...

... agent performance. • Containerize and deploy AI applications using Docker-based infrastructure. • Collaborate with software engineers, cybersecurity teams, researchers, and stakeholders to ...

New

We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source ...

New

We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source ...

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Showing results 1-20

Agent Engineer information

See Washington salary details

$5

$19

$28

How much do agent engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for agent engineer in Washington is $19.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 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 Washington are hiring for Agent Engineer jobs?

Cities in Washington with the most Agent Engineer job openings:

Infographic showing various Agent Engineer job openings in Washington as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, 2% Temporary, and 6% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $40,393 per year, or $19.4 per hour.

AI Agent Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Re-posted 15 days ago


Job description

Job Title: - Senior AI Agent Engineer

Location: - McLean, VA - 5 days onsite

Employment Type: - Contract

Need 10+ years of experience resumes and need locals to VA or nearby location.

Job Description: -

We are seeking a forward-thinking AI SDLC Engineer to transform our development processes from linear automation to an agentic, multi-agent workflow. The ideal candidate will design, build, and deploy specialized AI subagents (e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create production-grade software. You will enable AI to handle specialized tasks—architecture planning, frontend/backend development, debugging, and security reviews—while maintaining context isolation. Responsibilities

• Subagent Architecture & Creation: Design and implement task-specific AI subagents (e.g., ""Code Reviewer,"" ""SQL Expert,"" ""Frontend Builder"") with dedicated system prompts, tool access, and context boundaries.

• Orchestration & Workflow Automation: Build orchestration logic to manage the lifecycle of subagents (initialization, delegation, execution, and cleanup) using agentic frameworks.

• AI-Driven SDLC Integration: Implement agentic workflows across the entire SDLC, from requirements gathering and architecture design to automated testing, code review, and deployment.

• Context & Memory Management: Optimize AI performance by isolating noisy, long-running tasks into subagents, ensuring the main agent remains efficient and context-aware.

• Tooling & Integration: Integrate AI agents with internal development tools, including Bitbucket, Jira, ServiceNow and CI/CD pipelines.

• Performance Evaluation: Monitor, evaluate, and refine agentic workflows to improve code quality, reduce toil, and accelerate release cycles