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Entry Level Generative Ai Engineer Jobs (NOW HIRING)

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

Scalence L.L.C.

Senior Generative AI Engineer

Austin, TX · On-site

$54.75 - $70.50/hr

C. is seeking a Senior Generative AI Engineer to join their Apple Content Solutions Team. The role involves developing and maintaining AI-driven automation solutions while leveraging large language ...

Elliot Partnership

Generative AI Developer

New York, NY · On-site

* Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive ... engineer, if you're passionate about GAI, we want to hear from you! Why Join Us? * Work on cutting ...

Alexander Thamm GmbH

$76.14 - $99.57/hr

... Bereich Generative AI durch kontinuierliche Recherche und das Experimentieren mit neuen Tools ... Prompt Engineering * Konzeption und Umsetzung von internen Schulungen, um das Wissen im Team zu ...

New

Talan Group

Generative AI engineer

Indiana, PA · On-site

$100 - $130/hr

Pour accélérer le déploiement de nos solutions d'intelligence artificielle, nous recherchons un AI Engineer. Vous interviendrez sur l'ensemble du cycle de vie des solutions IA, avec pour objectif ...

Merican

AWS AI Engineer

Herndon, VA · On-site

Onsite About the Role We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems. The ideal candidate will have deep expertise in ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

Whiztek Corp

AI Engineer

Schaumburg, IL · On-site

Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term W2 Job Summary: We are seeking a highly motivated and adaptable AI ...

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Entry Level Generative Ai Engineer information

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How much do entry level generative ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level generative ai engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an entry level generative AI engineer?

Entry level generative AI engineers are professionals who work with artificial intelligence technologies focused on creating new content such as images, text, audio, or code. They typically assist in developing, training, and fine-tuning machine learning models like GPT or GANs under the supervision of senior engineers. These roles usually require a strong foundation in programming, mathematics, and machine learning concepts, but may not demand extensive industry experience. Tasks often include data preprocessing, model evaluation, and contributing to research or product development involving generative AI.

What are the key skills and qualifications needed to thrive as an entry level generative AI engineer?

To thrive as an Entry Level Generative AI Engineer, you need a solid background in computer science, mathematics, and machine learning fundamentals, typically supported by a relevant degree or coursework. Familiarity with Python, deep learning frameworks like TensorFlow or PyTorch, and version control systems such as Git is important, along with any foundational certifications in AI or data science. Strong problem-solving ability, curiosity, and effective teamwork skills will help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and improving generative AI models in a rapidly evolving technical landscape.

What are common challenges faced by entry level generative AI engineers, and how can they be addressed?

Entry level Generative AI Engineers often encounter challenges such as mastering complex machine learning frameworks, understanding the nuances of training large models, and keeping up with rapidly evolving research. Collaborating closely with more experienced team members through code reviews and pair programming can accelerate learning. It's also helpful to engage in continuous education through online courses and participate in team discussions to stay updated on the latest advancements and best practices in the field.

What is the difference between Entry Level Generative Ai Engineer vs Data Scientist?

AspectEntry Level Generative Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic knowledge of machine learning and programmingBachelor's or higher in CS, Statistics, or related; knowledge of data analysis and modeling
Work EnvironmentTech companies, AI startups, research labs focusing on AI model developmentVarious industries including finance, healthcare, marketing; analyzing data to inform decisions
Employer & Industry UsagePrimarily in AI and tech sectors developing generative modelsAcross multiple sectors using data to solve business problems

While both roles require a background in data and programming, Entry Level Generative Ai Engineers focus on developing AI models like generative adversarial networks, whereas Data Scientists analyze data to generate insights. The former is more specialized in AI model creation, while the latter covers broader data analysis tasks.

More about Entry Level Generative Ai Engineer jobs

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What are the most commonly searched types of Generative Ai Engineer jobs?

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States with the most job openings for Entry Level Generative Ai Engineer jobs include:

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The top searched job categories for Entry Level Generative Ai Engineer jobs are:

Entry Level Generative Ai Engineer jobs near you
Infographic showing various Entry Level Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Helix AI Engineer, Generative AI

Figure

San Jose, CA • On-site

$200K - $400K/yr

Full-time

Re-posted 14 days ago

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on training and deploying diffusion and generative models across vision, video, and multimodal domains, with applications spanning perception, data generation, and model-based reasoning.

Responsibilities
  • Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data
  • Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs
  • Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning
  • Explore and implement state-of-the-art techniques in diffusion, generative modeling, and multimodal foundation models
  • Optimize training pipelines for large-scale generative models across distributed systems
  • Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack
  • Evaluate model quality, robustness, and generalization across real-world scenarios
  • Contribute to the design of scalable experimentation frameworks for generative model development
Requirements
  • Experience training and deploying generative models (diffusion, autoregressive, or related approaches) at scale
  • Strong understanding of modern deep learning techniques for vision and/or multimodal systems
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Experience working with large-scale datasets and distributed training systems
  • Strong experimental rigor and ability to iterate quickly on model performance
  • Solid software engineering skills and ability to build reliable, maintainable systems
  • Ability to operate independently and own ambiguous, high-impact technical problems
Bonus Qualifications
  • Experience with diffusion models for image or video generation
  • Experience with multimodal foundation models (vision-language or vision-language-action)
  • Background in synthetic data generation or simulation for robotics or embodied AI
  • Experience optimizing large-scale training (multi-node, GPU clusters, etc.)
  • Familiarity with 3D, video prediction, or world models
  • Prior work in robotics, embodied AI, or real-world ML systems
  • Publication record in machine learning, computer vision, or generative modeling

The US base salary range for this full-time position is between $200,000 - $400,000

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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