2

Entry Level Ai Agent Developer Jobs in Raleigh, NC

... Data Engineering & Management, Agentic workflows, Multi Agent Design Patterns (ReAct, Plan-and ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...

Senior Web Developer

Raleigh, NC · On-site

$90 - $150/hr

Model Context Protocol (MCP) and tool‑enabled AI systems * Context engineering, prompt design and reusable agent instructions * AI‑assisted debugging, testing, code review and documentation

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

... Platform Engineer to enhance their AI/ML capabilities. The role involves monitoring system ... AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration ...

Entry Level Water Resources Designer

Raleigh, NC · Hybrid

$70K - $96K/yr

Perform engineering computations related to site hydrology and hydraulics, earthwork, stormwater ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

Entry Level Water Resources Designer

Raleigh, NC · Hybrid

$70K - $96K/yr

Perform engineering computations related to site hydrology and hydraulics, earthwork, stormwater ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

Be Seen First

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... AI tools such as Copilot, ChatGPT, Claude, and Gemini ethically and productively Essential ...

Be Seen First

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... AI tools such as Copilot, ChatGPT, Claude, and Gemini ethically and productively Essential ...

A real, hands-on AI practice - you use AI and agents in your engineering work to generate, refactor ... AI and agent data-security judgment - knowing what is and isn't safe to expose to AI tools, and how ...

Showing results 21-40

Entry Level Ai Agent Developer information

What is an entry level AI agent developer?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

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

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What does an entry level AI agent developer do?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

What are popular job titles related to Entry Level Ai Agent Developer jobs in Raleigh, NC? For Entry Level Ai Agent Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Agent Developer jobs in Raleigh, NC look for? The top searched job categories for Entry Level Ai Agent Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Ai Agent Developer jobs? Cities near Raleigh, NC with the most Entry Level Ai Agent Developer job openings:
Infographic showing various Entry Level Ai Agent Developer job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 14% Part Time, and 9% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Sr AI Engineer (RAG Specialist with Strong Python Skills)

RELX Group plc

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Posted 28 days ago


Job description

*** PLEASE NOTE: This role is on-site/hybrid in Raleigh, NC ***
Are you passionate about building next-generation AI solutions that transform how professionals work with information and insights?
Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies?
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
We are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.
Key Responsibilities:
  • Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
  • Strong prompt engineering and prompt testing skills to derive the desired outcome
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Optimize and fine-tune RAG models for performance and scalability cost saving.
  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
  • Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.
  • Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.
  • Write clean, efficient, and maintainable code in Python.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Troubleshoot and debug AI models and applications in a mono-repo settings.
  • Document AI models, processes, and workflows.

Qualifications:
  • Proven experience as an AI Engineer or similar role.
  • Strong proficiency in Python programming.
  • In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
  • Proven experience in prompt engineering
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Proficiency in data preprocessing and feature engineering techniques.
  • Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.
  • Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.

Preferred Skills:
  • Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.
  • Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).
  • AWS certification (e.g., AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect).
  • Knowledge of natural language processing (NLP) techniques.
  • Familiarity with version control systems (e.g., Git).
  • Experience with deploying AI models in production environments.

Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. #AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.