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Copilot Developer Jobs in Ashburn, VA (NOW HIRING)

BTree Solutions, Inc.

GENAI DEVELOPER

Mclean, VA · On-site

GitHub platform + GHCP (Copilot) for engineering workflows * Strong proficiency with GitHub Copilot in day-to-day development. * Deep experience with GitHub platform capabilities: * GitHub Actions ...

USM

JB061932 - Developer-Full Stack - Mid L

Mclean, VA · On-site

$60/hr

Active, daily use of AI-powered development tools (Cursor, Windsurf, Claude Code, GitHub Copilot, or similar). * Understanding of prompt engineering, token management, and AI-augmented system design ...

ClifyX

Full stack Sr Developer

Reston, VA · On-site

ClifyX is a company seeking a Full stack Sr. Developer. The role involves hands-on full-stack ... copilot • Very Good debugging and analyzing skills • Should be working from client office ...

McBride

Power BI Developer

Arlington, VA · Remote

The Developer will support the front end of the Microsoft BI stack, partnering closely with a Data ... Develop AI-enabled reporting experiences using Copilot Studio and Microsoft Fabric capabilities.

Accenture Federal Services

Java Developer

Washington, DC

$57.75 - $74.75/hr

A motivated, inquisitive developer. You use your skills to deliver innovative solutions that help ... Copilot, Amazon CodeWhisperer, etc.) * Experience with Java Application Servers such as Red Hat ...

SYSTEM SOFT TECHNOLOGIES LLC

Java Developer

Mclean, VA · On-site

$52.25 - $67.75/hr

Java developer, Location: McLean, VA (Onsite role) Duration: 6+ months contract W2 Only In Person ... Working experience and knowledge of GenAI tools, such as GitHub CoPilot, LLMs, RAG, Agentic AI

System Soft Technologies

Java Developer

Mclean, VA · On-site

$51.75 - $67/hr

Java developer, Location: McLean, VA (Onsite role) Duration: 6+ months contract W2 Only - In Person ... Working experience and knowledge of GenAI tools, such as GitHub CoPilot, LLMs, RAG, Agentic AI

Ropes & Gray

Senior Applications Developer

Washington, DC · On-site

$108K - $149K/yr

Design, build, and maintain AI agents and copilot experiences using Microsoft Copilot Studio and ... engineering across the team. * Evaluate, prototype, and integrate AI services-including Azure ...

CGI Inc.

Mid Level Software Developer

Fairfax, VA · On-site

Mid Level Software Developer Category: Software Development/ Engineering Main location: United ... Proficiency with AI assisted development tools (e.g., GitHub Copilot, Amazon Q) . Basic ...

Leidos

Sr. Appian Software Developer

Washington, DC · On-site

$107K - $195K/yr

Exposure to Appian AI capabilities, AI Skills, AI Copilot, AI Document Processing, or other ... Appian Senior Developer or Lead Developer Certification If you're looking for comfort, keep ...

VIS IT Solutions Inc

Java Backend Developer

Ashburn, VA · On-site

$51.75 - $67/hr

Java Backend Developer Location: Remote - Responsible for the development and maintenance of ... GitHub Copilot, AI-assisted debugging) to enhance productivity and code quality. - Good ...

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All JobsCopilot Developer JobsCopilot Developer Jobs in Ashburn, VA

Copilot Developer information

See Ashburn, VA salary details

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$54

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How much do copilot developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for copilot developer in Ashburn, VA is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $66.11 per hour, depending on experience, location, and employer.

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What are the key skills and qualifications needed to thrive as a Copilot Developer?

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What are popular job titles related to Copilot Developer jobs in Ashburn, VA?

For Copilot Developer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Copilot Developer jobs in Ashburn, VA look for?

The top searched job categories for Copilot Developer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Copilot Developer jobs?

Cities near Ashburn, VA with the most Copilot Developer job openings:

Copilot Developer jobs near you

GENAI DEVELOPER

BTree Solutions, Inc.

Mclean, VA • On-site

Contractor

Re-posted 15 days ago

Job description

Job Title: GENAI DEVELOPER
Location: Mclean,VA
Duration: 12+ Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
JOB DESCRIPTION
1) Agentic test automation foundation (reusable patterns + reference implementations)
  • Design and implement agentic testing patterns that can be adopted by multiple
  • Underwriting teams (and later other domains).
  • Create reference implementations (sample repos / templates) demonstrating:
  • Test generation assistance (from requirements, APIs, contracts, schemas)
  • Test maintenance assistance (auto-updating selectors/contracts, flaky test triage)
  • Failure analysis assistance (root cause suggestions, log correlation, defect drafting)
  • Establish a standard architecture for test code organization, tagging, data management,
  • and execution across UI + API + service layers.

2) Coverage standards, templates, and governance
  • Define and publish coverage standards (what "good" looks like) including:
  • Minimum coverage expectations by service/component
  • Test type mix (unit vs API vs UI vs contract vs integration)
  • Risk-based prioritization and traceability to requirements
  • Provide templates usable across teams:
  • Test plan templates
  • Test case/spec templates (Gherkin-style or equivalent)
  • Definition of Ready / Definition of Done quality checklists
  • Create a scalable tagging/metadata strategy (e.g., feature, service, risk, priority, data
  • sensitivity) to support reporting and quality gates.

3) GenAI-assisted reporting and quality insights across microservices
  • Build automated reporting that aggregates test + service data across multiple
  • microservices, such as:
  • Test execution results (Karate/Playwright + CI runs)
  • Service health signals (logs/metrics/traces if available)
  • Defect signals (issue tracker metadata if available)
  • Generate GenAI-driven summaries:
  • Release readiness narratives
  • Failure clustering and trend analysis
  • Produce outputs consumable by engineering leadership and teams (dashboards,
  • markdown summaries in PRs, artifacts in CI).

4) "Quality gates" via agents
  • Build automated review agents that evaluate user stories/requirements for minimum
  • required clarity and data before development/testing starts:
  • Required fields present (acceptance criteria, testable outcomes, data needs,
  • dependencies)
  • Ambiguity detection and missing edge cases
  • Data/privacy considerations and environment needs
  • Integrate gates into workflow (PR checks, issue templates, GitHub Actions) to reduce churn
  • and rework.

Required Technical Skills (must-have)
  • GenAI / LLM + agentic development
  • Hands-on experience building LLM-powered agents (tool-using, multi-step reasoning, guardrails).
  • Experience with prompting patterns, structured outputs (JSON schemas), evaluation, and reducing hallucinations.
  • Test generation/augmentation
  • Requirements review and completeness validation
  • Report generation and summarization
  • GitHub platform + GHCP (Copilot) for engineering workflows
  • Strong proficiency with GitHub Copilot in day-to-day development.

* Deep experience with GitHub platform capabilities:
  • GitHub Actions (CI/CD pipelines, reusable workflows, composite actions)
  • PR checks, branch protections, CODEOWNERS, templates
  • Automation via GitHub APIs/webhooks (as needed)
  • Test automation engineering (framework expertise)

* Advanced experience designing and implementing automation with:
  • Karate (API testing, contract-like checks, data-driven testing, mocks)
  • Playwright (UI automation, selectors strategy, parallelization, trace/video artifacts)

* Strong understanding of test design and coverage:
  • Happy path scenarios
  • Negative/validation scenarios
  • Edge/boundary scenarios
  • Data setup/teardown strategies and test isolation
  • Cross-service reporting and data aggregation
  • Proven ability to aggregate and normalize results from multiple microservices and multiple pipelines.
  • Experience producing actionable automated reports (trend analysis, failure clustering, service correlation).
  • Automated requirements review agents

* Experience implementing automated checks that validate:
  • Acceptance criteria completeness
  • Required test data and environment dependencies
  • Non-functional requirements (performance, security, observability) when applicable
  • Deliverables / What success looks like (for the posting)
  • A reusable agentic testing automation kit adopted by multiple teams.
  • Published coverage standards + templates and onboarding documentation.
  • A working GenAI-assisted reporting pipeline aggregating results across microservices.
  • Automated quality gates integrated into GitHub workflows that measurably reduce story churn.

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