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Ai Coding Jobs in Raleigh, NC (NOW HIRING)

Genesys

Senior Software Engineer

Durham, NC · On-site +1

$118K - $156K/yr

Experience using AI coding tools (Cursor, Kiro, etc.) * MavenandCI(e.g. Jenkins or equivalent). * Amazon Web Services(e.g.Bedrock,DynamoDB, EC2, Lambda, S3, SQS, ElastiCache). * RESTAPIs andserver ...

Sonar

Major Territory Manager (Remote)

Raleigh, NC · Remote

As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Amphenol TCS

AI Lead

Raleigh, NC · On-site

Evaluate and guide the use of approved AI and automation platforms such as ChatGPT Enterprise, Microsoft Copilot, Claude Code, Azure AI, Microsoft Fabric, Databricks AI, Power Platform, and related ...

Sonar

Major Territory Manager (Remote)

Raleigh, NC · Remote

As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Fractional AI

Staff Software Engineer (NC)

Raleigh, NC · On-site

About Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data ...

SpotOn: Sales

Staff AI Engineer

Raleigh, NC · On-site +1

$210K - $290K/yr

You write code with AI every day. You've built agents that do real work. You have strong, experience-backed opinions on which models to use for what, where agents fail, and how to build guardrails ...

SpotOn

Staff AI Engineer

Raleigh, NC · Remote

$210K - $290K/yr

You write code with AI every day. You've built agents that do real work. You have strong, experience-backed opinions on which models to use for what, where agents fail, and how to build guardrails ...

Infosys

AI/ML Engineer with Generative AI

Raleigh, NC · On-site

... coding and integrate new features or updates into existing applications, with a focus on ... AI. • Experience in Optimizing and adapting prompt engineering strategies to improve model ...

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All JobsAi Coding JobsAi Coding Jobs in Raleigh, NC

Ai Coding information

See Raleigh, NC salary details

$13

$32

$53

How much do ai coding jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai coding in Raleigh, NC is $32.10, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $38.80 per hour, depending on experience, location, and employer.

How much do AI coders make?

AI coders, also known as AI software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python can command higher salaries.

What is an AI Coding job?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

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

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

What are the typical daily responsibilities for someone working in AI Coding?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What are the most commonly searched types of Ai Coding jobs in Raleigh, NC? The most popular types of Ai Coding jobs in Raleigh, NC are:
What are popular job titles related to Ai Coding jobs in Raleigh, NC? For Ai Coding jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Coding jobs in Raleigh, NC look for? The top searched job categories for Ai Coding jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Coding jobs? Cities near Raleigh, NC with the most Ai Coding job openings:
Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Raleigh, NC as of June 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $66,762 per year, or $32.1 per hour.

Software Engineer V

Spectraforce Technologies

Raleigh, NC • Remote

Other

Posted 24 days ago

Job description

Job Title: Software Engineer V
Location: Remote, all US
Duration: 6 months (Possibility of extension)
Job Description:
Summary:
  • The Software Engineer will support a strategic data platform and tooling migration initiative, transitioning business-critical operations from a third-party SaaS CRM (Salesforce) onto an internal ORM framework data platform with custom AI-native tooling built on top.
  • The engineer will design and build tools on top of data pipelines, full-stack web applications, and integrations between systems, while leveraging AI-assisted development workflows to accelerate delivery.
  • Work spans backend data modeling, ETL/streaming pipelines, frontend application development, and CRM platform integration and CRM Tooling.

Must-Have Skills
  1. Tools Engineering (full stack)
  2. GraphQL / PHP / ORM Framework experience
  3. AI Development Workflows

Nice-to-have Skills
  1. Next.js / Vercel
  2. Salesforce and CRM Knowledge


Years of overall experience required?
    Job Responsibilities:
    • Design and implement entity/object schemas in a custom ORM-style data framework (analogous to GraphQL-backed entity systems or domain-driven data platforms).
    • Build and maintain real-time data pipelines using distributed event-streaming systems (Kafka or equivalent pub/sub log architectures).
    • Integrate with and migrate functionality off Salesforce -- including custom tooling, objects, triggers, Process Builder/Flow automation, database mutation & validation rules, and reporting.
    • Build full-stack web applications using Next.js (React + TypeScript), API routes, and modern frontend patterns.
    • Use AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) as a core part of the development workflow to accelerate implementation, code review, and refactoring.
    • Define API contracts, data migration strategies, and rollback/conflict-resolution patterns between systems running in parallel during transition.
    • Collaborate with data engineers, Salesforce administrators, and business stakeholders to validate functional parity between legacy and replacement systems.

    Skills:
    • Strong proficiency in TypeScript/JavaScript and modern React frameworks (Next.js / Vercel preferred).
    • Experience with distributed event-streaming or message-bus systems (Kafka, Pulsar, Kinesis, or equivalent).
    • Experience with data warehouse technologies (Hive, Spark, BigQuery, Snowflake, or equivalent) and SQL.
    • Comfort with entity-modeling frameworks, ORMs, or GraphQL schema design.
    • Familiarity with Salesforce platform development -- Apex, SOQL, custom objects, Lightning components, and SF data model -- strongly preferred. Salesforce Administrator or Developer certification is a plus.
    • Hands-on experience using AI coding assistants (Claude Code, Cursor, GitHub Copilot, etc.) as part of a daily development workflow.
    • Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
    • Strong ability to work independently and manage one's time.
    • Strong knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery.
    • Strong ability to troubleshoot issues and make system changes as needed to resolve issues.
    • Experience with data migrations between heterogeneous systems is highly desirable.

    Education/Experience:
    • Bachelor's degree in computer science, software engineering, or relevant field required.
    • 7+ years of professional software engineering experience preferred.

    Surrounding team & key projects:
    • Developer Ecosystem Success is part of the Metaverse Content organization, and contains two engineering teams, Metaverse Partner Engineering and Developer Relations Engineering.
    • They are tasked with improving the quality of all content available on the Horizon store, in service to the ultimate goal of creating a self-sustaining developer ecosystem.
    • The teams work closely with developers through all phases of development and submission, providing invaluable design direction, performance analysis, API and integration help and debugging.
    • Each team has a different focus, please contact the team leads for additional detail.
    • The engineering teams of Developer Ecosystem Success are the liaison between internal software teams and external partners, and serve as the spokespeople for developer needs.

    Typical Day-to-Day in the role
    • Building internal applications to replicate and improve upon existing Salesforce based, CRM functionality
    • Consulting with cross-functional (XFN) partners to identify necessary changes
    • Integrating with third-party applications and ensuring data
    • Identifying pain points and troubleshooting issues
    • Collaborating with Data Engineers to ensure correct data is being pulled and processed
    • Working with full-time employees (FTEs) to ensure alignment on what they're building
    • Testing and creating automated CI/CD tests for functional parity and reliability

    How will performance be measured?
    • Collaboration effectiveness with partners and cross-functional teams
    • Development velocity and delivery against project milestones
    • Quality and reliability of tools
    • Successful migration of Salesforce functionality to internal platforms
    • Documentation quality for handoff to long-term maintainers
    • Ability to troubleshoot and resolve issues independently

    Compelling Story & Candidate Value Proposition
    What makes this role interesting?
    • This is a unique opportunity to work on a high-impact, strategic initiative at Client, helping to bring a business-critical Salesforce instance in-house and rebuild it using modern, AI-native internal tooling.
    • Engineers in this role will gain hands-on experience with Client's internal data infrastructure, including Scribe (Client's distributed event-streaming platform) and custom entity-modeling frameworks, while working at the intersection of full-stack development, data engineering, and CRM systems.
    • The role offers significant autonomy and the chance to shape how the Developer Ecosystem Success organization operates, directly impacting Client's ability to support external developers building for the Horizon platform.
    • Candidates will collaborate closely with data engineers, business operations stakeholders, and partner teams, gaining broad exposure across technical and business domains.
    • With AI-assisted development tools integrated as a core part of the workflow, this is an ideal role for engineers who want to be at the forefront of how modern software is built.

    Are there any types of candidate profiles or skills that may not be the right fit for this team?
    • Candidates who only have Salesforce experience and nothing else are not a fit-the team is seeking generalists, not Salesforce-only specialists.

    Interview Process:
    • How many rounds of interviews? 3
    • Types of Interviews: Software Engineering (SWE), Data Engineering (DE), Business Operations (Biz Ops)
    • Interview Duration: 45 min

    Apply