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Entry Level Generative Ai Engineer Jobs in Raleigh, NC

Full-stack Software Engineer

Raleigh, NC ยท On-site

$71K - $119K/yr

... generative AI solutions with a flexible, multi-model approach that prioritizes using the best model ... You will collaborate closely with other engineers and stakeholders to translate requirements into ...

Generative AI/transformers, agentic AI, deep learning * Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series * Strong programming in R and/or Python; best ...

Generative AI/transformers, agentic AI, deep learning * Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series * Strong programming in R and/or Python; best ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

Demonstrated ability to apply AI or generative AI methods to solve complex, real-world engineering problems * Experience working with large-scale or complex datasets relevant to infrastructure and ...

Master's degree in Big Data Analytics, Computer Science, Statistics, Mathematics OR Engineering * 3 ... optimization, Generative AI, computer vision, time series forecasting, predictive modeling)

Master's degree in Big Data Analytics, Computer Science, Statistics, Mathematics OR Engineering * 3 ... optimization, Generative AI, computer vision, time series forecasting, predictive modeling)

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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 Jun 9, 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:
Full-stack Software Engineer

Full-stack Software Engineer

RELX Group plc

Raleigh, NC โ€ข On-site

$71K - $119K/yr

Full-time

Posted 6 days ago


Job description

***This role must be on-site (hybrid) in Raleigh, NC***
Are you excited by building scalable, cloud-native software using modern technologies?
Would you like to work on complex systems that support critical business and payment capabilities?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
This role performs moderate research, design, and software development within a defined software functional area or product line and support all APAC payments, security updates, and migration projects. You will collaborate closely with other engineers and stakeholders to translate requirements into reliable, secure, and scalable software solutions. The role focuses on delivering quality outcomes while continuously learning and applying new technologies.
Responsibilities
  • Write and review portions of detailed specifications for the development of system components of moderate complexity
  • Complete simple bug fixes and contribute to ongoing system improvements
  • Work closely with other development team members to understand product requirements and translate them into software designs
  • Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders
  • Resolve technical issues as necessary
  • Keep abreast of new technology developments
  • Perform other duties as assigned

Requirements
  • Software engineering experience with Java open-source technologies, including Apache Camel and Spring Boot
  • Experience with payment models, payments and pay processing.
  • Experience with AWS cloud technologies such as ECS, S3, SQS, Step Functions, Lambda, and serverless implementations
  • Experience with AWS DevOps activities, including CloudFormation templates and creating or upgrading AWS databases
  • Front-end development experience using React and/or Angular as part of full-stack development
  • Experience resolving security vulnerabilities in open-source Java technologies
  • Experience working with AI assistance tools such as Claude, Microsoft Copilot, or ChatGPT
  • Knowledge of payment processors and development and integration of payment web services
  • Experience working within software development methodologies such as Agile
U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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