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Ai Source Code Generation Jobs (NOW HIRING)

Principal Software Engineer - C++

Boston, MA · On-site

$146K - $196K/yr

In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate ...

Principal Software Engineer - Python

Boston, MA · On-site

$146K - $196K/yr

In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate ...

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

Develop and integrate learning-based decision systems into compiler passes, code generation flows ... Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance ...

OR

$122K - $161K/yr

Develop and integrate learning-based decision systems into compiler passes, code generation flows ... Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance ...

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/yr

Develop and integrate learning-based decision systems into compiler passes, code generation flows ... Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance ...

Senior Compiler Engineer - AI

Austin, TX

$121K - $160K/yr

Develop and integrate learning-based decision systems into compiler passes, code generation flows ... Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance ...

Develop and integrate learning-based decision systems into compiler passes, code generation flows ... Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance ...

Head of AI

Palo Alto, CA · On-site

$350K - $500K/yr

About this role We are looking for a world-class ML leader to architect and own our AI roadmap ... including code generation, reinforcement learning, layout optimization etc. You'll lead a ...

... generation agentic coding tools as they emerge. * Partner directly with Software Engineering to ... proprietary source code to external models. * Regularly audit the AI coding landscape to ensure ...

Architect and lead AI-powered automation initiatives across code generation, refactoring, and test automation * Design and implement agentic AI systems using modern LLM frameworks and orchestration ...

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Ai Source Code Generation information

See salary details

$31K

$93.2K

$169K

How much do ai source code generation jobs pay per year?

As of Jun 5, 2026, the average yearly pay for ai source code generation in the United States is $93,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $144,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Source Code Generation Engineer, and why are they important?

To thrive as an AI Source Code Generation Engineer, you need strong programming expertise, knowledge of machine learning concepts, and experience with AI model development, often supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and experience using code generation APIs or tools are typically required. Creativity, problem-solving, and effective communication are crucial soft skills for translating requirements into robust AI-generated code solutions. These skills and qualifications are essential for developing accurate, maintainable, and innovative AI-driven code generation systems that meet user and business needs.

What is AI source code generation?

AI source code generation is the use of artificial intelligence, particularly machine learning models like large language models, to automatically generate computer program source code based on user input, specifications, or natural language instructions. This technology helps developers write code faster, reduce repetitive tasks, and can even assist non-programmers in creating simple applications. AI source code generation tools can support multiple programming languages and frameworks, making them versatile for a wide range of software development tasks. However, the generated code still typically requires human review to ensure quality, correctness, and security.

What is the difference between Ai Source Code Generation vs AI Software Developer?

AspectAi Source Code GenerationAI Software Developer
Required CredentialsKnowledge of AI models, programming, and data scienceComputer science degree, programming skills, experience with AI/ML
Work EnvironmentTools for AI model training, code generation platforms, cloud servicesSoftware development teams, IDEs, version control systems
Employer & Industry UsageTech companies, AI startups, research institutionsSoftware firms, tech companies, enterprise IT departments
Search & Comparison IntentUnderstanding AI-driven code tools, automation in codingDeveloping AI applications, coding best practices

Ai Source Code Generation focuses on using AI models to automatically generate code, streamlining development processes. AI Software Developers design, build, and maintain AI-powered applications, requiring programming expertise and AI knowledge. While both roles involve AI and coding, source code generation emphasizes automation tools, whereas AI software development involves creating AI solutions from scratch.

What are the typical collaborative processes between AI source code generation engineers and other development team members?

AI source code generation engineers often work closely with software developers, product managers, and data scientists to ensure that generated code aligns with project requirements and integrates smoothly with existing systems. Collaboration typically involves participating in sprint planning, code reviews, and regular stand-up meetings to discuss progress and address challenges. Open communication and feedback loops are essential, as engineers may need to adjust AI models based on user feedback and team input. This collaborative environment enhances code quality and accelerates the development lifecycle.
Infographic showing various Ai Source Code Generation job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $93,198 per year, or $44.8 per hour.

Software Engineer, AI-Native

Libra Solutions

Las Vegas, NV • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

About Us

When life gets hard, we make it easier! Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining technical innovation and financial strength, we help speed up cumbersome workflows and ease financial barriers for our customers.

Through the MoveDocs personal injury solutions platform, Libra integrates and streamlines medical, financial, and professional services for personal injury cases. Our mission is to help personal injury victims receive the medical care and personal funding needs they require, and to help streamline the process for the attorneys and medical providers that serve these victims. Libra operates under the MoveDocs, Oasis Financial and Probate Advance brands. We are proud of our mission and passionate about applying technology to the challenge of making healthcare more accessible.

Together, under the Libra Solutions banner, we have relationships with over 50,000 attorneys and over 12,000 healthcare providers nationwide, which gives us an amazing platform to service our customers.

Job description

The Software Engineer, AI-Native is a core contributor on the software engineering team, responsible for designing, building, and maintaining features across Libra Solutions’ platforms. This role requires practical full-stack / full-lifecycle experience, a solid understanding of modern software engineering practices, and the ability to work effectively within an agentic delivery model where AI agents participate directly in the SDLC alongside human engineers.

This position reports to the Manager, Software Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed.

Position Responsibilities:

  • Design and implement full-stack features using C# / ASP.NET Core, Entity Framework Core, and SQL Server / Azure SQL for back-end services, and React or Angular for front-end applications
  • Write well-tested, maintainable code with unit and integration tests
  • Participate actively in code reviews, providing and incorporating constructive feedback
  • Contribute to Azure DevOps CI/CD pipelines and deployment workflows
  • Troubleshoot and resolve production issues in a timely manner
  • Use AI-assisted development tools (GitHub Copilot, Claude) with structured, context-rich prompts to accelerate coding, test coverage, and documentation
  • Critically evaluate all AI-generated output before committing — review for correctness, security risks, and alignment with team architecture and coding standards
  • Work within Libra’s agentic engineering model: AI agents handle code generation at scale; engineers own the judgment, quality bar, and architectural decisions on everything that ships
  • Collaborate with Product, QE, business stakeholders, and peers to deliver features that meet acceptance criteria and quality standards
  • Partner with offshore developers on the squad to scope tasks clearly, provide code review feedback, and maintain shared quality standards

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience
  • 2+ years of professional software development experience
  • Proficiency in C# and ASP.NET Core for back-end development
  • Experience with SQL Server or Azure SQL and Entity Framework Core
  • Working knowledge of React or Angular for front-end development
  • Experience with Git-based source control, pull request workflows, and Azure DevOps
  • Familiarity with CI/CD practices and agile delivery environments
  • Hands-on experience with AI coding assistants (GitHub Copilot, Cursor) and general-purpose LLMs (Claude, ChatGPT, Azure OpenAI) for code generation, documentation, and technical exploration
  • Ability to write structured, context-rich prompts for AI coding tools to produce targeted output; habit of iterating on prompts to improve output quality
  • Consistent practice of critically evaluating AI-generated code for correctness, security risks, and alignment with team architecture and coding standards before committing
  • Foundational understanding of agentic development workflows: comfortable contributing in a pod model where AI agents participate in code generation and test scaffolding, able to scope generation tasks effectively and take full ownership of reviewing, integrating, and improving AI-generated output
  • Creative problem-solving and troubleshooting skills
  • Self-motivated, collaborative, and detail-oriented with strong communication workflows
  • Must be authorized to work in the U.S

Benefits

· Libra Solutions offers competitive compensation and benefits that include medical, dental, vision and life insurance plans, plus a 401k match and paid time off.