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Gen Ai Developer Jobs in Raleigh, NC (NOW HIRING)

E-Solutions, Inc.

Gen AI Engineer

Raleigh, NC · On-site

Gen AI Engineer Job Location: Richardson, TX, Plano, TX, Dallas, TX, Irving, TX, Tampa, FL & Raleigh, NC Remote/Onsite: Onsite Job Type: Full time//Permanent - Participate in data extraction ...

Deloitte

Oracle Gen AI Manager

Raleigh, NC · On-site

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

Fidelity Investments

Senior Cloud Engineer

Durham, NC · On-site

$101K - $138K/yr

Experience using Gen-AI developer tools (e.g., Copilot) to improve development efficiency and productivity. The Team You will be part of the Enterprise API Platform team , a globally distributed ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products ... AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products ... AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products ... AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional ...

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All JobsGen Ai Developer JobsGen Ai Developer Jobs in Raleigh, NC

Gen Ai Developer information

See Raleigh, NC salary details

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$44

$98

How much do gen ai developer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for gen ai developer in Raleigh, NC is $44.02, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $53.27 per hour, depending on experience, location, and employer.

What is a Gen AI Developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI Developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
What are popular job titles related to Gen Ai Developer jobs in Raleigh, NC? For Gen Ai Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Gen Ai Developer jobs in Raleigh, NC look for? The top searched job categories for Gen Ai Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Gen Ai Developer jobs? Cities near Raleigh, NC with the most Gen Ai Developer job openings:
Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $91,564 per year, or $44 per hour.

Gen AI Engineer

E-Solutions, Inc.

Raleigh, NC • On-site

Other

Posted 19 days ago

Job description

Position Title: Gen AI Engineer

Job Location: Richardson, TX, Plano, TX, Dallas, TX, Irving, TX, Tampa, FL & Raleigh, NC

Remote/Onsite: Onsite

Job Type: Full time//Permanent 
 

Job description:-

            Participate in data extraction, transformation, and preparation.

  • Resolve common data issues and ensure quality for model development.
  • Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
  • Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
  • Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
  • Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
  • Identify data sources and extract from RDBMS and develop UI/UX for client usage.
  • Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
  • Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
  • Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
  • Apply predefined quality measurement frameworks, if any, to individual project tasks.
  • Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.

Your contribution to the team:

  • Strong analytical and problem-solving mindset with hands-on model development skills.
  • Ability to translate business needs into actionable analytics solutions.
  • Focus on data quality, validation and performance optimization.
  • Effective collaboration with business and technology stakeholders.
  • Commitment to continuous learning, knowledge sharing, fostering team development.

Required Skill and Experience

  • Experience in Generative AI and Large Language Models (LLMs)
  • Hands-on experience with agentic frameworks (multi-agent systems, tool-using agents, planners)
  • Solid understanding of:
  • RAG architectures
  • Prompt engineering & prompt chaining
  • Conversational AI design patterns
  • Strong programming experience in Python preferred

Preferred Skill and Experience

  • Experience with LangChain / similar orchestration frameworks
  • Exposure to LLM fine-tuning, embeddings, vector databases
  • Experience building enterprise copilots or AI assistants
  • Familiarity with cloud-based GenAI platforms

Additional Required Qualifications

  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education

Gen AI Engineer5Python,Langchain,genai,AgenticN/AFull TimeUnited States

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