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Entry Level Generative Ai Engineer Jobs in Raleigh, NC

Infosys

AI Engineer

Raleigh, NC · On-site

TensorFlow, PyTorch, LangChain • Expertise in Generative AI, including: RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign ...

Kanshe Infotech

Generative AI Training

Raleigh, NC · On-site

We are offering online training on Generative AI. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

Kanshe Infotech

Generative AI Training

Raleigh, NC · On-site

... Generative AI. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

Possess deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

Possess deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code ...

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All JobsEntry Level Generative Ai Engineer JobsEntry Level Generative Ai Engineer Jobs in Raleigh, NC

Entry Level Generative Ai Engineer information

See Raleigh, NC salary details

$29.2K

$67.4K

$114.7K

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

As of Jul 6, 2026, the average yearly pay for entry level generative ai engineer in Raleigh, NC is $67,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

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.

What are entry level generative AI engineers?

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, and why are they important?

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 the most commonly searched types of Generative Ai Engineer jobs in Raleigh, NC? The most popular types of Generative Ai Engineer jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Generative Ai Engineer jobs in Raleigh, NC? For Entry Level Generative Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Generative Ai Engineer jobs in Raleigh, NC look for? The top searched job categories for Entry Level Generative Ai Engineer jobs in Raleigh, NC are:
Entry Level Generative Ai Engineer jobs near you
Infographic showing various Entry Level Generative Ai Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 68% In-person, and 32% Hybrid job distribution, with an average salary of $67,425 per year, or $32.4 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Raleigh, NC • On-site

Other

Posted 14 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply