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Genai Developers Jobs (NOW HIRING)

IMR Soft LLC

Principal GenAI Engineer

Manhattan, NY · On-site

Principal GenAI Engineer Location: NYC, NY - 3 Days WFO Employment Type: Full Time About the Role hiring a Principal GenAI Engineer with strong expertise in LLMs to lead enterprise-scale AI ...

IMR Soft LLC

GenAI Engineer (Agentic AI)

Manhattan, NY · On-site

GenAI Engineer (Agentic AI) Location; NYC, NY ( In person interview must) Duration: 12 months Role Overview We are looking for a hands-on GenAI Engineer to build and scale agent-based AI applications ...

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Senior GenAI Engineer Location: Jersey City, NJ (Onsite) Pay Rate: $60-$70/Hour Contract: Contract Schedule: Onsite Experience: 15+ Years About the Role We are seeking a highly experienced Senior ...

VeeRteq Solutions Inc.

GenAI Engineer

Chicago, IL · On-site

Role: SR GenAI Engineer Experience: - min 8+ Years Location: - Edina, MN & Chicago, IL Hybrid - 3 days' Work from Office Duration: - C2H with client Seeking an GenAI Engineer with expertise in GenAI ...

Palnar

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

We are seeking two GenAI Developers to join our AI Tools team, focused on building advanced integrations and connectors across leading Generative AI platforms. The ideal candidates will have strong ...

Inficare Technologies

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Job Title: Sr. GenAI Engineer Location: Jersey City, NJ (5 Days Onsite) Job Type: 12+ Month Contract Experience: 15+ years Job Overview Our client is seeking a highly skilled Senior GenAI Engineer ...

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

AI/GenAI Engineer Job Location: Irvine, CA Job Type: Contract * Lead and conduct advanced research in AI and Generative AI to develop innovative solutions. * Design and implement machine learning ...

BEPC INC

Lead GenAI Engineer

South San Francisco, CA · On-site

$80 - $91.51/hr

BEPC is actively looking for Lead GenAI Engineer, in South San Francisco, CA area! W2 Contract - 6 months with possible extensions! Benefits include medical, dental, vision, and life insurance Pay ...

BlackCube Labs

Lead GenAI Engineer

California, MO · On-site

$91K - $120K/yr

Lead GenAI Engineer It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI ...

New

Hudson Manpower

Senior GenAI Engineer - W2

Schaumburg, IL · On-site

$40 - $50/hr

We are seeking a Senior GenAI Engineer with strong expertise in Artificial Intelligence, Machine Learning, Large Language Models, and Agentic AI. The ideal candidate will have hands-on experience ...

Eightelevengroup

GenAI Developer

Mclean, VA · On-site

$65 - $75/hr

GenAI Developer Location: DMV Area (Washington, DC, Maryland, Virginia) Hybrid Role - 1-2 days/wk ... Collaborate with developers, AI/ML engineers, product teams, and other technical stakeholders to ...

Eightelevengroup

$65 - $75/hr

GenAI Developer Location: DMV Area (Washington, DC, Maryland, Virginia) Hybrid Role - 1-2 days/wk ... Collaborate with developers, AI/ML engineers, product teams, and other technical stakeholders to ...

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Genai Developers information

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$71K

$230.5K

How much do genai developers jobs pay per year?

As of Sep 14, 2026, the average yearly pay for genai developers in the United States is $71,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the difference between Genai Developers vs Machine Learning Engineers?

AspectGenai DevelopersMachine Learning Engineers
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong math background
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI product teams
Industry UsageDeveloping generative AI applications, chatbots, content creationBuilding predictive models, data analysis, machine learning systems

Genai Developers focus on creating applications using generative AI models, often working with NLP and content generation tools. Machine Learning Engineers develop and optimize machine learning algorithms and models across various domains. While both roles require AI knowledge, Genai Developers specialize in generative AI applications, whereas Machine Learning Engineers have a broader scope in machine learning systems.

What are popular job titles related to Genai Developers jobs?

For Genai Developers jobs, the most frequently searched job titles are:

Infographic showing various Genai Developers job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $71,017 per year, or $34.1 per hour.

Sr./Staff GenAI Engineer

New York, NY • On-site

Interon IT Solutions
See more jobs at Interon IT Solutionsexternal

Contractor

Re-posted 22 days ago

Job description

Title - Sr./Staff GenAI Engineer

Location: Onsite at NYC 

Employment Type: W2

Experience Level: Senior

Required skills

8+ years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10+ years for Staff GenAI Engineer

2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.

Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.

Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications

Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.

Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.

Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.

Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.

Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.

Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.