ZipRecruiter

Log In

1

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

Ztek Consulting

AWS AI Platform Engineer

Raleigh, NC · On-site

AWS AI Platform Engineer Location: Raleigh, NC/Pheonix, AZ Must Have Technical/Functional Skills ... Build AI agents and multi-agent workflows for enterprise use cases * Design enterprise knowledge ...

Strategic Employment

AI Software Engineer

Durham, NC · On-site

As a Senior Software Engineer focused on AI agents, you'll design and build core agent architecture--including planning, memory, and tool integration--to handle complex workflows at scale. You'll ...

Material Bank

Applied AI Engineer

Raleigh, NC

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next ... Build production-grade multi-agent workflows and orchestration systems using frameworks such as ...

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 ...

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 ...

ClifyX

AWS AI Platform Engineer

Raleigh, NC · On-site

... multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and ... data sources into AI knowledge bases • Implement prompt engineering and context management ...

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 ...

next page

Showing results 1-20

All JobsAi Agent Developer JobsAi Agent Developer Jobs in Raleigh, NC

Ai Agent Developer information

See Raleigh, NC salary details

$28.2K

$46.6K

$96.7K

How much do ai agent developer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for ai agent developer in Raleigh, NC is $46,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $49,600.00 per year, depending on experience, location, and employer.

What is an AI Agent Developer job?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI Agent Developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

Is AI agent developer a good career?

AI agent developer is a growing field involving designing and building intelligent systems that can perform tasks autonomously. It requires skills in programming, machine learning, and data analysis, with job opportunities increasing as AI technology advances. The role offers competitive salaries and the potential for innovation in various industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or chief AI officer, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership responsibilities, strategic planning, and expertise in AI tools and frameworks, with compensation reflecting experience and impact. Such salaries are rare and generally found in large tech companies or specialized AI firms for top-tier professionals.

What are the key skills and qualifications needed to thrive in the Ai Agent Developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

What is the salary of an AI agent developer?

The salary of an AI agent developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning and natural language processing may offer higher compensation.

Are AI agents replacing developers?

AI agents developers create systems that automate tasks and assist in software development, but they are not replacing developers entirely. Instead, AI tools enhance productivity and handle repetitive coding, allowing developers to focus on complex problem-solving and design. Human oversight remains essential for ensuring quality, creativity, and ethical considerations in software projects.
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:
What are popular job titles related to Ai Agent Developer jobs in Raleigh, NC? For Ai Agent Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Raleigh, NC look for? The top searched job categories for Ai Agent Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Agent Developer jobs? Cities near Raleigh, NC with the most Ai Agent Developer job openings:
Ai Agent Developer jobs near you
Staff Software Engineer - AI Platform

Staff Software Engineer - AI Platform

CaptivateIQ

Raleigh, NC • Remote

Full-time

Posted 8 days ago

Job description

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.
 
About the Role

CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a **Staff Software Engineer** to set the technical strategy for our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features.

This is a strategic technical leadership role with multi-year, multi-team scope. You'll define the architecture and technical direction for AI at CaptivateIQ, making decisions that have no clear answer and partnering with senior Engineering, Product, and Design leadership to shape our long-term vision. You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards.

As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries. You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build. You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact.

This is a rare greenfield opportunity to define how AI gets built at a growing enterprise software company. You'll shape not just the technology, but the culture and practices that scale with the organization.

 
Job Location
Remote - US
 
Responsibilities
  • Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision
  • Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
  • Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
  • Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams
  • Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities
  • Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking
  • Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications
Requirements
  • 8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership
  • Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization
  • Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
  • Track record of setting technical strategy that spans multiple teams and multi-year time horizons
  • Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives
  • Demonstrated ability to make high-stakes technical decisions under extreme ambiguity
  • Strong mentorship track record, particularly in developing senior engineers toward staff-level impact
  • Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
Bonus
  • Strong proficiency in Python and experience with Django or similar backend frameworks
  • Full-stack capabilities with React and TypeScript
  • Experience building and scaling internal AI/ML platforms or developer experience infrastructure
  • Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
  • Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool    ecosystems
  • Experience with AI evaluation, observability, and production monitoring at enterprise scale
  • Published technical writing, conference talks, or significant open-source contributions in AI/ML
  • Background building AI-powered products that shipped to enterprise customers with measurable business impact
  • Experience at a B2B SaaS company during periods of significant growth or platform expansion
  • Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains
Benefits
  • Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
  • Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
  • Annual Stipends: Dedicated funds for your professional development and caretaking needs.
  • Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.
  • Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
  • Premium Tools: The latest Apple hardware to empower you to do your best work.
  • Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.
Notice to Prospective Candidates
  • Only emails from @captivateiq.com should be trusted.
  • We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made.
  • Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.
The base range represents the minimum and maximum for this position across North America. For candidates in Toronto, Canada the range is $181,289–$242,106. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.