: Data Engineering & ModelingData Modeling, Logical Data Modeling, Physical Data Modeling ... Management, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG ...
New
: Data Engineering & ModelingData Modeling, Logical Data Modeling, Physical Data Modeling ... Management, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG ...
New
Customer Care Advisor
$29.50 - $41/hr
Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Familiarity with generative AI models (ChatGPT, Gemini, etc.) and prompt development. * Experience ...
Customer Care Advisor
$29.50 - $41/hr
Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Familiarity with generative AI models (ChatGPT, Gemini, etc.) and prompt development. * Experience ...
Customer Care Advisor
$29.50 - $41/hr
Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Familiarity with generative AI models (ChatGPT, Gemini, etc.) and prompt development. * Experience ...
Customer Care Advisor
$29.50 - $41/hr
Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Familiarity with generative AI models (ChatGPT, Gemini, etc.) and prompt development. * Experience ...
Generative Ai Developer information
See Columbus, IN salary details
$21.68 is the 25th percentile. Wages below this are outliers.
$17.66 - $24.59
43% of jobs
$24.59 - $31.52
0% of jobs
$31.52 - $38.45
0% of jobs
The median wage is $41.10 / hr.
$38.45 - $45.38
18% of jobs
$49.56 is the 75th percentile. Wages above this are outliers.
$45.38 - $52.32
23% of jobs
$52.32 - $59.25
7% of jobs
$59.25 - $66.18
4% of jobs
$66.18 - $73.11
0% of jobs
$73.11 - $80.04
0% of jobs
$80.04 - $86.97
2% of jobs
$86.97 - $93.90
2% of jobs
$17
$42
$93
How much do generative ai developer jobs pay per hour?
As of Jul 26, 2026, the average hourly pay for generative ai developer in Columbus, IN is $42.12, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $50.96 per hour, depending on experience, location, and employer.
What are some common challenges faced by Generative AI Developers when deploying models in production environments?
Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.
What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?
To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.
Is generative AI a good career?
Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.
What is the difference between Generative Ai Developer vs Machine Learning Engineer?
| Aspect | Generative Ai Developer | Machine Learning Engineer |
|---|---|---|
| Credentials | Bachelor's or higher in CS, AI, or related fields; experience with deep learning frameworks | Bachelor's or higher in CS, Data Science, or related fields; strong programming skills |
| Work Environment | Develops AI models for content creation, chatbots, and creative applications | Builds and deploys ML models for various data-driven solutions across industries |
| Industry Usage | Tech, entertainment, marketing, and creative sectors | Finance, healthcare, tech, and e-commerce sectors |
While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.
What is the salary of a generative AI developer?
The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.
What does a generative AI developer do?
A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.
What is a Generative AI Developer?
A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What job categories do people searching Generative Ai Developer jobs in Columbus, IN look for? The top searched job categories for Generative Ai Developer jobs in Columbus, IN are:
Principal Data & AI Architect- 10+ yrs- Columbus, Indiana- Onsite
Columbus, IN • On-site
Other
Posted 2 days ago
Job description
Job Description :
Data Engineering & ModelingData Modeling, Logical Data Modeling, Physical Data Modeling, Dimensional Data Modeling, Data Vault Modeling, Data Engineering, Enterprise Data Models, Data Pipelines, Data Governance, Data Architecture, Data Mesh, Lakehouse ArchitectureReal-Time Data ProcessingReal-Time Data Pipelines, Streaming Data Processing, Event-Driven Architecture, Apache Kafka, Google Pub/Sub, Low-Latency Data ProcessingGoogle Cloud Platform (Google Cloud Platform)Google Cloud Platform, BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Architecture, Google Cloud Platform Professional Data Engineer, Google Cloud Platform Professional Cloud ArchitectAI, Machine Learning & MLOpsMachine Learning, AI/ML Model Deployment, ML Inferencing, MLOps, Model Monitoring, Model Governance, Model Risk Management, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, MLflow, KubeflowCloud & Data TechnologiesPython, SQL, API Integration, Kubernetes, Docker, CI/CD, Apache Spark, Databricks, SnowflakeBanking & Financial DomainBanking, Fraud Detection, Risk Management, AML, KYC, Regulatory Compliance, Data Compliance, Operationalizing AI/ML Models, Cross-Functional Collaboration, Data Science, Risk Analytics, Enterprise Solutions