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Assistant Ai Agent Developer Jobs in Raleigh, NC

SAS

DevOps Engineer

Cary, NC · On-site

$49.25 - $67.50/hr

About the job The Applied AI & Modeling (AAIM) Division seeks a Software Engineer skilled in GPU ... Ensure quality through functional, unit, and performance testing; work closely with model/agent ...

SAS

DevOps Engineer

Cary, NC

$49.25 - $67.50/hr

About the job The Applied AI & Modeling (AAIM) Division seeks a Software Engineer skilled in GPU ... Ensure quality through functional, unit, and performance testing; work closely with model/agent ...

Direct Supply, Inc.

AI Engineer

Durham, NC · On-site

Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI) * Docker, Terraform, and AWS Minimum Qualifications * 2+ years in software engineering or applied AI * Experience working with ...

RELX

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

... of agent workflows. Familiarity with vector databases, embeddings, and retrieval systems. Experience integrating AI capabilities into enterprise systems and developer workflows. Knowledge of ...

E-Solutions, Inc.

Gen AI Engineer

Raleigh, NC · On-site

Hands-on experience with agentic frameworks (multi-agent systems, tool-using agents, planners ... Experience building enterprise copilots or AI assistants * Familiarity with cloud-based GenAI ...

Amphenol TCS

AI Lead

Raleigh, NC · On-site

Lead the design and deployment of AI-enabled solutions such as knowledge assistants, engineering ... Define reusable AI solution patterns, prompt/agent design standards, solution templates ...

Directsupply

AI Engineer

Durham, NC · On-site

Strong applied AI and software engineering fundamentals * Builderswho canspantech,product,and ... Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI) * Docker, Terraform, and AWS ...

Amphenol

AI Lead

Raleigh, NC · On-site

... such as knowledge assistants, engineering productivity tools, document summarization ... prompt/agent design standards, solution templates, documentation practices, and deployment ...

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Assistant Ai Agent Developer information

What are the key skills and qualifications needed to thrive as an Assistant AI Agent Developer, and why are they important?

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an Assistant AI Agent Developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an Assistant AI Agent Developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.
What are the most commonly searched types of Ai Agent Developer jobs in Raleigh, NC? The most popular types of Ai Agent Developer jobs in Raleigh, NC are:
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Assistant Ai Agent Developer jobs near you
Senior AI Engineer

Senior AI Engineer

Western Governors University

Raleigh, NC

$161K - $249K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

70th of 555 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Technical 411Pay Range: $161,000.00 - $249,500.00

Job Description

Join WGU's AI Engineering Enablement team and play a pivotal role in shaping the next generation of intelligent, scalable systems. As a Senior AI Engineer, you will lead the design and delivery of complex AI solutions that directly impact innovation across the organization. You'll act as a technical anchor for the team, driving architecture, reliability, and excellence in production AI systems while mentoring others and influencing long-term technical direction.

What You'll Do

  • Lead end-to-end design and delivery of production LLM-powered applications and multi-agent systems from architecture through deployment and monitoring

  • Own and evolve critical AI infrastructure, ensuring reliability, scalability, and observability standards

  • Architect and optimize advanced RAG pipelines, including hybrid retrieval, re-ranking, and multi-index strategies

  • Design and implement AI evaluation frameworks, including automated regression testing, LLM-as-judge workflows, and red-teaming protocols

  • Drive prompt engineering strategy for complex multi-turn and multi-agent interactions, including governance and versioning practices

  • Lead model fine-tuning and adaptation initiatives using techniques such as LoRA, PEFT, and RLHF

  • Mentor AI engineers and elevate team standards through design reviews, code reviews, and technical guidance

What You'll Bring

    • 5+ years of experience in software engineering, data science, or machine learning.

    • 3+ years of hands-on experience building and deploying LLM-based applications or AI systems in production.

    • Strong experience building and deploying production LLM-powered applications using major APIs and/or open-source models

    • Deep knowledge of agentic AI systems including tool use, memory architectures, and multi-agent coordination

    • Advanced expertise in RAG pipeline design, embedding strategies, and retrieval optimization

    • Experience designing scalable evaluation frameworks, including automated testing and quality measurement

    • Proficiency in Python and strong software engineering fundamentals, including system design and CI/CD practices

    • Experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent) in production contexts.

    • Ability to lead complex technical discussions, mentor others, and operate effectively in fast-moving environments

Bonus Points

  • Experience with Databricks or related certifications

  • Experience with open-source model ecosystems (Hugging Face, Ollama, vLLM) and self-hosted inference infrastructure.

  • Experience with AWS and cloud-native AI infrastructure

  • Background in EdTech, personalized learning, or student-facing AI applications

Experience in Lieu of Education

An equivalent combination of relevant education and experience performing advanced AI engineering work will be considered.

At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.

  • Introductory call with a Talent Partner

  • Hiring manager interview

  • Technical interview with senior team member

  • Team panel interview with live coding exercise

Work Location

This is a full-time, in-office position requiring five days per week in our Raleigh, NC office, designed to foster the collaboration and connection that fuel our best work.

Visa Sponsorship

While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.

Equivalents and Substitutions

  • Equivalent relevant experience may substitute for degree requirements (1 year of experience per year of education at the discretion of the Hiring Manager).

#LI-AW2

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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