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

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 ...

We have a strongtrack recordof success(productionalizingdozens of gen AI products over the last 3 ... This role sits at the seam between automation engineering (AE) and implementation engineering (IE)

We have a strongtrack recordof success(productionalizingdozens of gen AI products over the last 3 ... This role sits at the seam between automation engineering (AE) and implementation engineering (IE)

... gen AI, LLM, Python, computer vision, data visualization tools, excellent written and verbal ... computer engineering, electrical engineering, information systems, IT, highly motivated, self ...

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 ...

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 ...

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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Gen Ai Developer information

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How much do gen ai developer jobs pay per hour?

As of Jun 12, 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 is the salary of GenAI developer?

The salary of a Gen AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, natural language processing, and relevant tools like TensorFlow or PyTorch tend to earn higher salaries.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require extensive experience or specialized certifications.

What jobs pay 2000 a day?

High-paying roles for a Gen AI Developer can reach or exceed $2,000 per day, especially for freelance or consulting positions with specialized skills in artificial intelligence, machine learning, and large language models. Such roles often require advanced expertise, a strong portfolio, and experience working on complex AI projects, typically in a flexible or contract-based work environment.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI development can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like Lead Software Engineer or Principal Data Engineer often reach this compensation level, particularly in tech hubs or large organizations with performance bonuses and stock options.

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:
Senior AI Engineer - Agentic Systems

Senior AI Engineer - Agentic Systems

DPR Construction

Raleigh, NC • On-site

$101K - $139K/yr

Full-time

Posted 16 days ago


DPR Construction rating

7.8

Company rating: 7.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

25th of 78 rated construction


Job description

Job Description

Senior Agentic AI Engineer
Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systemsfor the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents, andcopilots using modern AI/ML techniques.


You will work closely with cross-functional teams, including business stakeholders, data engineers, andtechnical leads, to ensure alignment between business needs and data architecture and define datamodels for specific focus areas.
What you'll work on


Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models andensure the success delivery of projects
Develop agents over our construction data estate, systems that answer non-trivial questions, takemulti-step action against APIs and databases, and operate under governance constraints that matter.
Tool-use and orchestration design in LangGraph: defining the right granularity of tools, the right statemachines, and the right human-in-the-loop checkpoints for a domain where wrong answers have real-world consequences.
Evaluation infrastructure for non-deterministic systems: building harnesses, golden datasets, andregression tests that let us ship agentic features with confidence. We treat eval as a first-classengineering problem, not an afterthought.
Retrieval and knowledge architecture spanning Snowflake Cortex, vector search, and structuredgraphs over our project data. You'll make real decisions about when retrieval is the answer and whenit isn't.
Integration with our domain systems: partnering with engineers and analysts working on safety,operations, scheduling, and risk to turn agentic capabilities into tools superintendents and PMs use.
Technical direction-setting across the Agentic AI track: design reviews, architectural guidance, raisingthe bar on what "production-ready" means for agents, and mentoring engineers earlier in theiragentic AI journey.
Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategicrecommendations.
Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AImodel development, deployment, and maintenance.
Required Experience


6+ years of production software engineering, with at least 2 years building LLM-powered systems in aproduction setting.
Demonstrated experience designing and shipping agentic systems using LangChain and LangGraph orcomparable frameworks.
Strong Python engineering fundamentals: testing, packaging, performance, and the parts of the stackthat aren't glamorous.
Practical experience with retrieval architectures (vector stores, hybrid search, reranking) and with atleast one major cloud data platform.
Track record of evaluation work, you can describe specific eval systems you've built and what theycaught that ad-hoc testing missed.
Excellent written and verbal communication, with experience presenting technical work to non-technical stakeholders.

Bonus


Snowflake and Snowflake Cortex (Cortex Search, AI_COMPLETE, Cortex Analyst).
Experience with knowledge graphs or graph-augmented retrieval.
Familiarity with construction, AEC, or other physical-industry domains.
Experience working under AI governance frameworks like model risk, responsible AI, intake processes.
Open-source contributions to the LangChain/LangGraph ecosystem or related agentic tooling.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.


Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.


Explore our open opportunities atwww.dpr.com/careers.


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