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Gen Ai Software Developer Jobs (NOW HIRING)

Job Summary : flyExclusive is one of the fastest-growing private aviation companies in the country, seeking a Senior Software Developer to join their team. The role involves directing AI coding ...

Lead Gen AI Engineer (Developer Productivity Tools) (Remote is ok for non local profiles) Irving ... Experience building developer productivity or engineering platform tools. Knowledge of software ...

GEN AI Engineer

Charlotte, NC · On-site

$78K - $105K/yr

Diverse Lynx is seeking a Gen AI Engineer who will be responsible for building applications that ... The role requires expertise in AI, machine learning, and software engineering to create ...

Gen AI Architect

Santa Clara, CA · On-site

$74.50 - $98/hr

We are looking for a Gen AI Architect to join our growing team in United States! Role Overview: The ... Required Skills & Experience: * 15+ years in software engineering, solution architecture, or ...

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3-6 years of software development experience. * 2+ years of experience building AI/ML or Generative AI ...

New

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3-6 years of software development experience. * 2+ years of experience building AI/ML or Generative AI ...

New

$175K - $350K/yr

Required Skills & Experience: * 8+ years in software engineering or data science, with 3+ years in Gen AI or LLM-based systems. * Strong programming skills in TypeScript, Python, or similar languages.

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... software engineers for the deployment of machine learning models into production environments ...

They are seeking a Gen AI Engineer to work on prompt engineering, connecting LLMs, and Agentic AI, requiring hands-on experience in these areas. Responsibilities : • Gen AI - prompt engineering • ...

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... software engineers for the deployment of machine learning models into production environments ...

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... software engineers for the deployment of machine learning models into production environments ...

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Gen Ai Software Developer information

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$48K

$111.8K

$166K

How much do gen ai software developer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for gen ai software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

How do Gen AI Software Developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Gen AI Software Developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

What is a Gen AI Software Developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

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