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Github Copilot Jobs in Dallas, GA (NOW HIRING)

Oraapps Inc

Agentic AI Engineer

Atlanta, GA · On-site

GitHub Copilot * Microsoft AI ecosystem * REST APIs * Microservices * Enterprise AI architecture * Tool-calling frameworks * Retrieval-Augmented Generation (RAG)

New

Invesco

Principal Data Scientist, SIP

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries. * A desire to work at the intersection of data engineering and full-stack development ...

Invesco

Principal Data Scientist, SIP

Atlanta, GA · Hybrid

  • Medical

  • Retirement

  • PTO

Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries. * A desire to work at the intersection of data engineering and full-stack development ...

Invesco Real Estate

Principal Data Scientist, SIP

Atlanta, GA · On-site

$160 - $210/hr

  • Medical

  • Retirement

  • PTO

Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries.* A desire to work at the intersection of data engineering and full-stack development ...

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Showing results 21-40

All JobsGithub Copilot JobsGithub Copilot Jobs in Dallas, GA

Github Copilot information

See Dallas, GA salary details

$29.4K

$73.9K

$113.8K

How much do github copilot jobs pay per year?

As of Aug 16, 2026, the average yearly pay for github copilot in Dallas, GA is $73,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $92,100.00 per year, depending on experience, location, and employer.

What is the difference between Github Copilot vs Software Developer?

FeatureGithub CopilotSoftware Developer
Primary RoleAI-powered code completion toolDesigning, coding, testing software applications
Required SkillsProficiency in programming, understanding of AI toolsProgramming languages, problem-solving, software design
Work EnvironmentIntegrated into IDEs, used alongside developersOffice or remote, collaborative or solo coding
CertificationsNone required, but familiarity with coding standards helpsComputer Science degree or coding certifications often preferred

Github Copilot is an AI tool that assists developers by suggesting code snippets, while a Software Developer actively writes, tests, and maintains software applications. Copilot enhances productivity but does not replace the core responsibilities of a developer. Both roles often work together in the software development process.

What cities near Dallas, GA are hiring for Github Copilot jobs?

Cities near Dallas, GA with the most Github Copilot job openings:

Github Copilot jobs near you
Infographic showing various Github Copilot job openings in Dallas, GA as of August 2026, with employment types broken down into 15% Full Time, 82% Part Time, and 3% Contract. Highlights an 14% Physical, 1% Hybrid, and 85% Remote job distribution, with an average salary of $73,856 per year, or $35.5 per hour.

Agentic AI Engineer

Oraapps Inc

Atlanta, GA • On-site

Other

Posted 3 days ago

New

Job description

What You''ll Do

  • Design, develop, and deploy enterprise-grade AI applications using modern software engineering best practices.
  • Build and enhance agentic AI solutions, AI copilots, and intelligent workflow automation.
  • Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks.
  • Build scalable APIs, microservices, and integrations supporting enterprise AI platforms.
  • Collaborate with data scientists to productionize machine learning and AI solutions.
  • Implement testing, monitoring, observability, and governance practices for AI applications.
  • Ensure AI solutions meet security, compliance, and responsible AI standards.
  • Contribute to architecture decisions for enterprise AI platforms and reusable application frameworks.
  • Work within Azure and Microsoft''s AI ecosystem while supporting multi-cloud best practices where appropriate.
  • Participate in code reviews and promote engineering excellence across the team.

Current AI Initiatives

  • This role will contribute to several strategic AI initiatives, including:
  • Payer Intelligence Platform
  • Monitor payer policy changes using AI.
  • Assess operational impact of policy updates.
  • Support managed care teams in prioritizing actions and dispute resolution.
    • Clinical Chart Review: Build agentic AI solutions using EHR and clinical documentation.
  • Support patient cohort identification.
  • Generate clinical insights for quality improvement initiatives.
  • Population Market Intelligence: Analyze internal and external datasets.
  • Generate recommendations for service line growth.
  • Identify emerging healthcare market opportunities.

Required Qualifications

  • MUST HAVE A Bachelor''s degree in Computer Science, Engineering, Data Science, or a related technical field. Master''s degree preferred. Equivalent professional experience may be considered in lieu of an advanced degree.
  • Approximately 3+ years of experience in AI engineering, machine learning engineering, data engineering, software engineering, or a related technical discipline.
  • At least 2 years of experience designing, building, and supporting production-grade enterprise applications.
  • Hands-on experience developing applications using Large Language Models (LLMs).
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures.
  • Experience building agentic AI applications, AI assistants, or workflow automation solutions.
  • Strong Python programming skills.
  • Experience building and consuming RESTful APIs.
  • Knowledge of software engineering best practices, including testing, version control, CI/CD, and maintainable application design.
  • Experience designing scalable enterprise application architectures.

Preferred Qualifications

  • Experience within healthcare, provider organizations, payer organizations, or biomedical environments.
  • Experience with Microsoft Azure and Azure AI services.
  • Familiarity with GitHub Copilot and the Microsoft AI ecosystem.
  • Experience with AI governance, responsible AI practices, observability, guardrails, and model monitoring.
  • Background in MLOps and production AI deployment.
  • Technical Environment
  • Python
  • Azure (preferred)
  • GitHub Copilot
  • Microsoft AI ecosystem
  • REST APIs
  • Microservices
  • Enterprise AI architecture
  • Tool-calling frameworks
  • Retrieval-Augmented Generation (RAG)

Apply