1

Senior Ai Agent Developer Jobs in Virginia (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 Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · Hybrid

$55 - $72.75/hr

Overview We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · On-site

$55 - $72.75/hr

Overview We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

Senior AI Developer

Mclean, VA · Hybrid

$55 - $72.75/hr

We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents & RAG) to ... Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks ...

next page

Showing results 1-20

Senior Ai Agent Developer information

What are the key skills and qualifications needed to thrive as a Senior AI Agent Developer, and why are they important?

To thrive as a Senior AI Agent Developer, you need advanced programming skills (especially in Python), deep knowledge of machine learning and reinforcement learning algorithms, and a degree in computer science or a related field. Familiarity with AI frameworks such as TensorFlow, PyTorch, and tools for deploying and monitoring agents is typical, along with experience using cloud platforms like AWS or Azure. Strong problem-solving abilities, leadership, and effective communication set standout professionals apart in this role. These skills ensure the development of robust, scalable AI agents and effective collaboration within multidisciplinary teams to drive impactful AI solutions.

What is a Senior AI Agent Developer?

A Senior AI Agent Developer is an experienced software engineer who specializes in designing, building, and deploying intelligent agents using artificial intelligence techniques. These professionals work with advanced technologies such as machine learning, natural language processing, and reinforcement learning to create agents that can autonomously perform complex tasks. They often lead teams, architect solutions, and ensure that AI systems meet performance, reliability, and ethical standards. Their expertise is crucial for developing applications in areas like virtual assistants, robotics, autonomous vehicles, and enterprise automation.

What are some common challenges faced by Senior AI Agent Developers when deploying solutions in production environments?

Senior AI Agent Developers often encounter challenges such as ensuring the scalability and reliability of AI agents when transitioning from prototype to production. Managing data pipelines, integrating with existing systems, and optimizing model performance for real-time decision-making are frequent hurdles. Additionally, maintaining transparency, monitoring for bias, and updating models as new data becomes available are ongoing responsibilities. Collaboration with cross-functional teams—like data engineers, product managers, and QA—helps address these complexities and ensures successful deployment.
What are the most commonly searched types of Ai Agent Developer jobs in Virginia? The most popular types of Ai Agent Developer jobs in Virginia are:
What job categories do people searching Senior Ai Agent Developer jobs in Virginia look for? The top searched job categories for Senior Ai Agent Developer jobs in Virginia are:

AI Agent Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Re-posted 13 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