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Gen Ai Engineer Jobs (NOW HIRING)

As a Gen-AI Engineer, you will play a key role in designing, developing, and deploying generative AI models and solutions that drive business value and innovation. You will work closely with cross ...

Gen AI Engineer

Mclean, VA · On-site

$55 - $60/hr

Immediate need for a talented Gen AI Engineer . This is a 06+months contract opportunity with long-term potential and is located in Mclean VA (Onsite) . Please review the below and contact me ASAP if ...

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 ...

Gen AI Engineer

Plano, TX · On-site

$140K - $160K/yr

Must Have Technical/Functional Skills - Gen AI prompt engineering - Connecting LLMs - Agentic AI - Model Context Protocol - Handon experience- Roles & responsibilities • Gen AI prompt engineering ...

Diverse Lynx is a company that focuses on innovative AI solutions, and they are seeking a GEN AI Engineer to develop AI workflows and maintain AI models. The role involves hands-on experience with ...

Diverse Lynx is a company that specializes in innovative technology solutions, and they are seeking a GEN AI Engineer. The role involves developing AI workflows, prompt engineering, and deploying AI ...

Diverse Lynx is a company that focuses on innovative AI solutions, and they are seeking a GEN AI Engineer to develop AI workflows and maintain AI models. The role involves hands-on experience with ...

... latest Gen AI research, models, and best practices Required Skills: Strong programming skills in Python Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini) Knowledge of prompt ...

Diverse Lynx is a company that focuses on innovative AI solutions, and they are seeking a GEN AI Engineer to develop AI workflows and maintain AI models. The role involves hands-on experience with ...

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 ...

Gen AI developer Location: Phoenix.AZ (Hybrid) Type: Contract Looking for people that have experience with backend SaaS Gen AI platform operations & engineering, like OpenAI, Anthropic, etc. -need ...

Sr. Gen AI Engineer

Dallas, TX · 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 ...

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 + Strong DE • Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI, etc.) with a focus on reliability, reproducibility, and auditability • ...

Lead Gen AI Engineer

Charlotte, NC · Hybrid

$100K - $131K/yr

Lead Gen AI Engineer Charlotte, NC 3 days/week onsite role Design and develop Agentic AI systems using Google ADK, LangChain, and LangGraph, including multi-agent orchestration, state management, and ...

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Gen Ai Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do gen ai engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for gen ai engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are Gen AI Engineers?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What is the difference between Gen Ai Engineer vs Data Scientist?

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

What are some common challenges Gen AI Engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.
More about Gen Ai Engineer jobs
What cities are hiring for Gen Ai Engineer jobs? Cities with the most Gen Ai Engineer job openings:
What states have the most Gen Ai Engineer jobs? States with the most job openings for Gen Ai Engineer jobs include:
Infographic showing various Gen Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Other

Posted 6 days ago


Job description

As a Gen-AI Engineer, you will play a key role in designing, developing, and deploying generative AI models and solutions that drive business value and innovation. You will work closely with cross-functional teams to identify opportunities, develop proofs of concept, and implement scalable AI solutions.

Requirements

Master's degree in Computer Science, Engineering, Statistics, Mathematics, or related field
3+ years of experience in AI/ML engineering, with a focus on generative AI models (e.g., GANs, VAEs, LLMs)
Proficiency in programming languages such as Python, Java, or C++
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and AI model development
Strong understanding of computer science fundamentals, software engineering, and data structures
Excellent problem-solving skills, with the ability to work in a fast-paced environment

Preferred Qualifications

Experience with cloud-based AI platforms (e.g., AWS SageMaker, Google Cloud AI Platform)
Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes)
Familiarity with agile development methodologies and DevOps practices
Experience working in a highly regulated industry (e.g., finance, healthcare)

Join our team as a Gen-AI Engineer and contribute to the development of cutting-edge AI solutions that drive business value and improve customer experiences. Apply today!