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Gen Ai Developer Jobs (NOW HIRING)

Gen AI Engineer Location: Sunrise, FL or Phoenix, AZ Hybrid role - In a week three days onsite. Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy ...

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.

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.

Sr. Gen AI Engineer

Dallas, TX ยท On-site

$100K - $138K/yr

As a Gen AI Engineer, you will collaborate with other AI engineers, product engineers, and infra teams to build, evaluate, and iterate on AI-powered systems. You'll bring a deep understanding of ...

Gen AI Architect

Santa Clara, CA ยท On-site

$74.50 - $98/hr

Are you interested in working with the World's leading AI-first Quality Engineering Company? Ready ... We are looking for a Gen AI Architect to join our growing team in United States! Job Overview: We ...

Sr. Gen AI Engineer

$107K - $146K/yr

As a Gen AI Engineer, you will collaborate with other AI engineers, product engineers, and infra teams to build, evaluate, and iterate on AI-powered systems. You'll bring a deep understanding of ...

Gen AI Engineer III

Atlanta, GA ยท On-site +1

$55.25 - $74.25/hr

Gen AI Engineer III Gen AI Engineer III Location: Atlanta, GA This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility ...

$175K - $350K/yr

Role Overview: We're seeking a Director of Gen AI & Agentic AI Engineering to lead the design, development, and deployment of enterprise-grade AI applications. This role is ideal for a senior ...

RIT Solutions, Inc. is a company focused on innovative AI solutions, seeking a Gen AI Engineer to enhance their capabilities. The role involves building and developing models to improve understanding ...

Gen AI Lead

Dallas, TX ยท On-site

$138K - $170K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role ... Gen AI & Agents - Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language ...

Info Way Solutions is a company focused on advanced AI technologies, and they are seeking a Gen AI Engineer to design and implement innovative AI/ML models. The role involves developing generative AI ...

GEN AI Architect Location: Charlotte, NC(Onsite) Job Type: Full Time Worked on Agentic AI Wokrflows ... Strong background in cloud computing platforms (AWS, GCP, Azure) and familiarity with DevOps ...

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

Showing results 41-60

Gen Ai Developer information

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How much do gen ai developer jobs pay per hour?

As of Sep 3, 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.

Gen AI Engineer

WorkNovas LLC

Sunrise, FL โ€ข On-site

Contractor

Re-posted 17 days ago


Job description

Role: Gen AI Engineer

Location: Sunrise, FL or Phoenix, AZ

Hybrid role - In a week three days onsite.

Experience - 6 to 8 Years

We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs).

  • In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source).
  • Design agentic workflows using LangChain and LangGraph.
  • Implement short-term and long-term memory strategies for LLM-based systems.
  • Optimize prompts, retrieval pipelines, and orchestration logic.
  • Collaborate with product and platform teams to deliver scalable AI solutions.
  • Required Qualifications Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral). Hands-on experience with LangChain and/or LangGraph.
  • Solid understanding of LLM memory architectures and state management.
  • Proficiency in Python and ML engineering best practices.

Nice to Have

  • Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
  • Experience deploying ML/GenAI systems in production environments.