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Ai Agent Developer Jobs in Reston, VA (NOW HIRING)

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

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 ...

Trilagen

Senior Sales Executive - Agentic AI

Reston, VA · On-site

Cross-sell across all three Trilagen practices - AI Agent Engineering, Cloud (AWS & Oracle OCI), and Identity Security (Okta & SailPoint ISC). Every engagement is a door into the other two. Territory ...

Interon IT Solutions

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

... multi-agent orchestration frameworks. • Configure and optimize Now Assist, Predictive ... prompt engineering, and AI workflow orchestration • Experience integrating ServiceNow with ...

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All JobsAi Agent Developer JobsAi Agent Developer Jobs in Reston, VA

Ai Agent Developer information

See Reston, VA salary details

$30.2K

$49.9K

$103.5K

How much do ai agent developer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for ai agent developer in Reston, VA is $49,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $53,100.00 per year, depending on experience, location, and employer.

What is an AI Agent Developer job?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI Agent Developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

Is AI agent developer a good career?

AI agent developer is a growing field involving designing and building intelligent systems that can perform tasks autonomously. It requires skills in programming, machine learning, and data analysis, with job opportunities increasing as AI technology advances. The role offers competitive salaries and the potential for innovation in various industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or chief AI officer, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership responsibilities, strategic planning, and expertise in AI tools and frameworks, with compensation reflecting experience and impact. Such salaries are rare and generally found in large tech companies or specialized AI firms for top-tier professionals.

What are the key skills and qualifications needed to thrive in the Ai Agent Developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

What is the salary of an AI agent developer?

The salary of an AI agent developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning and natural language processing may offer higher compensation.

Are AI agents replacing developers?

AI agents developers create systems that automate tasks and assist in software development, but they are not replacing developers entirely. Instead, AI tools enhance productivity and handle repetitive coding, allowing developers to focus on complex problem-solving and design. Human oversight remains essential for ensuring quality, creativity, and ethical considerations in software projects.
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Ai Agent Developer jobs near you

AI Agent Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Re-posted 25 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