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Gen Ai Engineer Jobs (NOW HIRING)

Key Responsibilities • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang ... with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver ...

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

Tata Consultancy Services is looking for a Gen AI Engineer to join their Apple Content Solutions Team, focusing on projects based on Generative AI. The role involves developing AI-driven automation ...

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

We are hiring Gen AI Engineer - Hybrid for a Contract position in new york, NY Responsibilities GenAI Engineer Location: Hybrid, 3 days a week in New York, Montreal, or Alpharetta, GA Role Summary:

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Gen AI

Dallas, TX · On-site

Role : Gen AI Location: Dallas, TX(Onsite) System Design + Big Data + RAG Pipelines + Data ... Prompt Engineering * Fine-Tuning and Model Evaluation * Custom ML Model Development

New

We are seeking a highly skilled GenAI Engineer to design build and operationalize next generation AI solutions leveraging Large Language Models LLMs AI agents Retrieval Augmented Generation RAG ...

As a GAI Expert/Software Engineer, you will be responsible for building applications that utilize generative AI to enhance contact center operations and streamline code generation. Responsibilities ...

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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 Jul 10, 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 July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Agentic Gen AI Engineer

Agentic Gen AI Engineer

Spruce Infotech

Alpharetta, GA • On-site

Contractor

Re-posted 20 days ago


Job description

Key Responsibilities
• Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain
• Design, build, and deploy agentic AI systems using generative AI models, agent frameworks, custom orchestrators, enterprise systems, APIs, and third-party tools.
• Develop and maintain Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior.
• Collaborate closely with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver production-ready AI solutions.
• Monitor, evaluate, and optimize agent performance, ensuring safety, accuracy, trustworthiness, and high-quality user experience.
• Stay up to date with advancements in multi-agent orchestration, RAG techniques, cognitive architectures, and AI safety practices.
• Work with business teams to understand requirements and deliver scalable, enterprise-grade data and AI solutions.
• Demonstrate strong experience in enterprise-level data ingestion, transformation, analysis, and problem-solving, along with effective cross-functional communication skills.
Must Have Skills:
• Agentic AI
• Gen AI
• Lang Graph
• Lang Chain
• RAG
• Python
Nice to Have Skills:
• Snowflake