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Software Engineer Ai Remote Jobs in Georgia (NOW HIRING)

Software Engineer

Atlanta, GA · On-site +1

$72K - $121K/yr

The Software Engineer designs, builds, and operates enterprise applications, data pipelines, and AI ... NET, Azure data services, and Azure AI Foundry to produce reliable, governed, production-ready ...

Sr Software Engineer

Atlanta, GA · On-site +1

$101K - $169K/yr

Senior Software Engineer applies secure software engineering principles to the design, development ... As part of a corporate wide AI transformation initiative, this role will also incorporate the ...

Software Engineer II

Atlanta, GA · On-site +1

$93K - $128K/yr

Iterable is the leading AI-powered customer engagement platform that helps leading brands like ... remote employees worldwide-we are committed to building a diverse and inclusive workplace. We ...

Software Engineer II

Atlanta, GA · On-site +1

$89K - $134K/yr

The Software Engineer II (C#, .NET) is responsible for designing, developing and maintaining ... Leverage AI-assisted tools (e.g., Copilot, LLM-based tools) to improve productivity and code ...

AI-assisted engineering is a normal part of how we work. Engineers use AI tools throughout planning, implementation, debugging, testing, review, and documentation, and remain fully accountable for ...

(9304) Software Engineer

Augusta, GA · On-site +1

$129K - $229K/yr

Proven track record of integrating advanced AI agents, specifically Claude Code or Google's Antigravity / Gemini agentic workflows, into your daily software engineering routine. * Agentic Feature ...

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

... stack software development, with hands-on experience building agentic AI/LLM applications ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

MACC, a division of Harris; is seeking a Software Engineer who enjoys understanding systems deeply ... Salary: 70K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Senior Software Engineer About Kaleris Kaleris is a private equity-backed software firm focused on ... Ability to work independently and with distributed, international remote teams * Bachelor's degree ...

Showing results 21-40

Software Engineer Ai Remote information

How does a remote software engineer AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What does a software engineer AI remote do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

What are the key skills and qualifications needed to thrive as a software engineer AI remote?

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

What is the difference between Software Engineer Ai Remote vs Data Scientist Ai Remote?

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

What are popular job titles related to Software Engineer Ai Remote jobs in Georgia? For Software Engineer Ai Remote jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Software Engineer Ai Remote jobs? Cities in Georgia with the most Software Engineer Ai Remote job openings:
Infographic showing various Software Engineer Ai Remote job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Software Engineer

Womble Bond Dickinson

Atlanta, GA • On-site, Remote

$72K - $121K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Womble Bond Dickinson rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

7th of 34 rated law firms


Job description

Womble Bond Dickinson (US) LLP seeks a Software Engineer to join our team.  The Software Engineer designs, builds, and operates enterprise applications, data pipelines, and AI systems across the Microsoft stack. The role spans full-stack application development, modern data platform engineering, and AI agent delivery — working across C#/.NET, Azure data services, and Azure AI Foundry to produce reliable, governed, production-ready solutions aligned to business and legal operations needs. The candidate may work remotely from any one of our Womble locations.

RESPONSIBILITIES:

  • Design, develop, and maintain web applications, APIs, and backend services using C#, .NET, Blazor, React, and TypeScript
  • Build and extend solutions within the Microsoft Power Platform ecosystem, including Power Apps, Power Automate, and Dataverse
  • Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory, Microsoft Fabric, Delta Lake, and Dataflow Gen2
  • Develop and maintain dimensionally modeled data warehouses supporting reporting and analytics across legal, finance, and operational functions
  • Integrate data from legacy SQL Server environments (SSRS, SSAS) and third-party systems using Azure Data Factory and Boomi
  • Architect and build AI agents and RAG pipelines using Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio — including document ingestion, vectorization, grounding, and prompt engineering
  • Integrate AI capabilities into user workflows via Microsoft Copilot, Teams, and Office add-ins; define agent invocation patterns, context management, and enterprise governance models
  • Implement observability, telemetry, and exception reporting across applications, data pipelines, and AI systems
  • Document data models, lineage, transformation logic, ETL workflows, and AI architecture decisions to ensure traceability and maintainability
  • Participate in sprint planning, architectural discussions, code reviews, and the firm's ongoing platform modernization strategy
  • Use Git and Azure DevOps for version control, release management, and collaboration

REQUIREMENTS:

  • Strong proficiency in C# and .NET for application and backend service development
    Hands-on experience with Blazor, React, and TypeScript for modern web development
  • 5+ years of data engineering experience with Microsoft technologies; SQL Server and T-SQL expertise required
  • Experience with Microsoft Fabric, Azure SQL, Delta Lake, and Dataflow Gen2 Proficiency with ETL tools including Azure Data Factory, Synapse, and Boomi for third-party integration
  • Proven experience building or operating AI-enabled systems in production, including RAG pipelines and agent frameworks
  • Practical understanding of ML and generative AI concepts, including model limitations, responsible AI principles, and governance
  • Familiarity with medallion architecture, dimensional modeling, and enterprise data warehouse design
  • Understanding of data governance, security, and compliance in a legal context
  • Experience with low-code/no-code platforms including Microsoft Power Platform
    Proficiency with Git and Azure DevOps
  • Ability to explain technical decisions, AI behavior, and data architecture to non-technical stakeholders
  • Bachelor's degree in Computer Science or equivalent experience

Compensation: The national average salary range for this role is $72,000 - $121,000.  Starting salary will be determined based on location, qualifications, and experience.”

Candidates are not required to submit age-related information and may redact any personally identifiable information on their application materials including but are not limited to age, date of birth, and dates of attendance and date of graduation for educational institutions. This position does not have a fixed deadline. The posting will remain open until the position is filled and all necessary due diligence has been completed for the selected candidate.

This position is subject to export control laws.

BENEFITS:

Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, Flexible Spending Accounts, Life insurance, Disability Insurance, Paid Parental Leave, 401(k) Plan, Paid Days Off/Vacation, Firm Paid Holidays


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