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Agentic Developers Jobs in Raleigh, NC (NOW HIRING)

Compunnel

Machine Learning Engineer Lead

Raleigh, NC · On-site

$99K - $131K/yr

Job Summary The Machine Learning Engineer Lead will define and lead the architecture of scalable AI/ML and agentic systems across the global product portfolio. This senior technical leadership role ...

NetApp

Senior Engineer, AI BU

Morrisville, NC · On-site

$97K - $134K/yr

Working knowledge of using agentic engineering using local and/or frontier models. * Exposure to Distributed Storage Systems. * Ability to build consensus and communicate technical trade-offs within ...

NetApp

Principal Engineer, AI BU

Morrisville, NC · On-site

Well versed in using agentic engineering using local and/or frontier models. * Hands-on experience with Distributed Storage Systems. * Proven ability to build technical consensus and influence ...

FHR

M724-UiPath Developer 65886

Raleigh, NC · On-site

Title: UiPath Developer/System Programmer 4 The UiPath Developer is responsible for designing ... This role supports both traditional linear automation workflows and emerging Agentic AI solutions ...

Compunnel

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

... • Engineer agentic AI workflows and multi-step reasoning systems to automate complex legal processes. • Implement and improve retrieval systems, including vector databases, semantic search ...

Pearson

Senior Software Engineer

Durham, NC · On-site

$118K - $156K/yr

Drive the future of Agentic AI at Pearson as part of the AgentOps Engineering team. Inspire innovation. Empower learning. Pearson, the world's leading learning company, is hiring a Senior Software ...

Socket.dev

Senior Full Stack Engineer

Raleigh, NC · On-site

Drive adoption of agentic software development lifecycle, leveraging AI code generation tools and automation frameworks to enhance developer productivity and establish best practices. * Conduct ...

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying ... Kubernetes, and orchestration of agentic systems. Qualifications : Required : • 10+ yrs ...

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Agentic Developers information

See Raleigh, NC salary details

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$69K

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How much do agentic developers jobs pay per year?

As of Sep 13, 2026, the average yearly pay for agentic developers in Raleigh, NC is $69,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What is an agentic developer?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.

How do agentic developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

What are the key skills and qualifications needed to thrive as an agentic developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

Is agentic developer a good career?

Agentic developer is not a standard job title; if referring to a developer with agency or autonomy in their work, software development is generally considered a good career due to high demand, competitive salaries, and opportunities for remote work. Success often depends on technical skills, problem-solving ability, and continuous learning in programming languages and tools.

What are popular job titles related to Agentic Developers jobs in Raleigh, NC?

For Agentic Developers jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Agentic Developers jobs in Raleigh, NC look for?

The top searched job categories for Agentic Developers jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Agentic Developers jobs?

Cities near Raleigh, NC with the most Agentic Developers job openings:

Agentic Developers jobs near you
Infographic showing various Agentic Developers job openings in Raleigh, NC as of September 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $69,034 per year, or $33.2 per hour.

Machine Learning Engineer Lead

Raleigh, NC • On-site

Compunnel
IT Services • 501 - 1,000 employees
Learn more about Compunnelexternal

$99K - $131K/yr

Contractor

Posted 27 days ago

Key responsibilities

  • Define reference architectures for LLM, machine learning, and agent-based systems across products

  • Design and implement scalable AI platforms supporting large-scale distributed ML systems and enterprise AI workloads

  • Lead the deployment and optimization of LLM, Generative AI, and RAG solutions in production environments

Job description

Job Summary
The Machine Learning Engineer Lead will define and lead the architecture of scalable AI/ML and agentic systems across the global product portfolio. This senior technical leadership role will focus on large-scale distributed ML systems, LLM and RAG architectures, Agentic AI frameworks, tool orchestration, and enterprise platform engineering. The role will shape long-term AI platform strategy, establish technical standards, and mentor engineering teams while supporting highly available, secure, and scalable AI systems.
Key Responsibilities
• Define reference architectures for LLM, machine learning, and agent-based systems across products.
• Design high-availability and low-latency inference platforms capable of operating at global scale.
• Establish reusable platform components for model lifecycle management, deployment, monitoring, and operationalization.
• Architect scalable AI platforms supporting large-scale distributed ML systems and enterprise AI workloads.
• Architect multi-step, reasoning-driven agentic AI systems.
• Design orchestration patterns for tool use, API invocation, and structured function calling.
• Lead the implementation and governance of Model Context Protocol (MCP) servers to standardize tool integration and context management.
• Define guardrails, permissions, security controls, and audit mechanisms for enterprise-safe AI systems.
• Establish and maintain best practices for MLOps, CI/CD, observability, scalability, and system reliability.
• Design and implement scalable inference systems using containerization and Kubernetes.
• Drive the deployment and optimization of LLM, Generative AI, and RAG solutions in production environments.
• Design cloud-based AI/ML architectures across AWS, Azure, or GCP.
• Establish technical standards and architectural patterns for AI/ML and agentic systems across engineering teams.
• Embed Responsible AI principles into platform architecture and engineering practices.
• Provide technical leadership, mentorship, and guidance to senior engineers and engineering teams.
• Collaborate with cross-functional teams to influence technical direction and ensure alignment with enterprise AI platform strategy.
• Support people management, leadership, and team development activities as required.
Required Qualifications
• 10+ years of experience building and deploying production-grade machine learning systems at scale.
• Strong experience with LLMs, Generative AI, and RAG deployments in production environments.
• Strong Python development background.
• Expertise designing and implementing AI/ML systems in cloud environments such as AWS, Azure, or GCP.
• Hands-on experience with Kubernetes, containerization, and scalable inference systems.
• Experience designing agentic AI systems and tool orchestration frameworks.
• Experience implementing and governing MCP servers or structured architectures for tool integration and context management.
• Experience with large-scale distributed ML systems and enterprise platform engineering.
• Experience establishing MLOps, CI/CD, observability, and system reliability practices.
• Demonstrated people management, technical leadership, or mentorship experience.
• Strong understanding of high-availability and low-latency AI/ML architectures.
• Ability to define technical standards and influence architecture and engineering decisions across teams.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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