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Gen Ai Developer Jobs (NOW HIRING)

Gen AI Developer

Seattle, WA ยท On-site

$120K - $150K/yr

... AI. โ€ข Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas). โ€ข Fine-tune and optimize transformer-based models and LLMs for specific use cases. โ€ข ...

Info Way Solutions is seeking an experienced AI / Generative AI Developer to join its team in Hartford, CT. This role involves designing and deploying GenAI solutions using large language models ...

Gen AI Engineer Experience: 6+ Years Location: Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation ...

Required : โ€ข MS or PhD in Computer Science, Machine Learning, or related field โ€ข 2+ years of experience in developing and deploying generative AI models โ€ข Strong programming skills in languages ...

Sr. Gen AI Engineer

$107K - $146K/yr

Job Title: Sr. Gen AI Engineer Location: Remote * Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field, with 5 - 10+ years of experience in Applied AI, Machine ...

Hiring Alert | GEN AI Engineer Location: Irving, TX / Tampa, FL / Edison, NJ (Onsite) Employment Type: Full-Time Experience Required: 5+ Years Visa Type: USC / GC Only Interview Mode: In-person ...

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA ยท On-site

$49 - $67.50/hr

Major Skills - Hands on Python Development, GEN AI Tools, Experience with LangChain and LLM, MCP (Model Context Protocol). We are seeking two GenAI Developers to join our AI Tools team, focused on ...

We currently looking for Gen AI Engineer our client. Please see the below for your reference Gen AI Engineer Location - Phoenix, AZ Need local Duration - Long term Core Technical Requirements

* Senior Software Engineer - Generative AI (Applied AI & Engineering) * New York City (Hybrid - 3 days a week in-office) * Generous compensation Are you a hands-on builder with a first-principles ...

Junior Java with GEN AI Developer Location: Plano, TX Java Microservices Developer with Handson experience in building scalable cloud native applications and exposure to Artificial Intelligence ...

Hiring Alert | Gen AI Engineer Location: Austin, TX (Onsite) Employment Type: Full-Time Experience ... Cross-Functional Collaboration (QA, DevOps, UX) Preferred Experience: * Prior Apple experience ...

Senior Gen AI Developer (ONLY W2)

Brooklyn, NY ยท On-site

$132K - $177K/yr

MDAEdge is a company specializing in advanced technology solutions, and they are seeking a Senior Gen AI Developer. The role involves designing and developing web applications, APIs, and ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.

Showing results 21-40

Gen Ai Developer information

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How much do gen ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for gen ai developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.
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Infographic showing various Gen Ai Developer job openings in the United States as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,200 per year, or $45.3 per hour.

Full Time For All Visa: Gen AI Developer

Visionary Innovative Technology Solutions LLC

Tampa, FL โ€ข On-site

$45.75 - $63/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Position: Gen AI Developer

Location: Tampa, FL -Hybrid

Duration: Full Time


Skills

Mandatory Skills : Python - Data Science


Job description

An AIML Engineer designs develops and deploys intelligent systems and models that learn from data to automate tasks improve decisionmaking and create innovative solutions This role bridges the gap between data science research and productionlevel software engineering

Model Development Training Design develop and train machine learning and deep learning models using Python and frameworks like TensorFlow Keras or PyTorch

Data Engineering Preprocessing Clean transform and structure raw data to create highquality datasets for training

Deployment Productionization Integrate AI models into existing software applications and create APIs for realtime or batch inference