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Agentic Developers Jobs (NOW HIRING)

Centraprise Corp

AI Agentic Engineer

Detroit, MI · On-site

Roles & Responsibilities • Agentic System Design & Engineering: Architect, build, and deploy advanced AI agents capable of autonomous reasoning, decision-making, and self-directed task execution.

IntraEdge

Agentic Software Engineer

Austin, TX · On-site

We are looking for Agentic Software Engineer who can combine strong software engineering fundamentals with expert use of GenAI and agentic development tools to build, test, modernize, and operate ...

Truist

Senior AI Agentic Engineer

Charlotte, NC · On-site

$102K - $140K/yr

English (Required) Work Shift: 1st shift (United States of America) Please review the following The Senior AI Agentic Engineer is a senior production builder responsible for designing, implementing ...

MGT Insurance

Principal Agentic Engineer

San Francisco, CA · On-site

$175K - $300K/yr

We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs , and autonomous system architectures to join our engineering, data science, and insurance ...

Beyond SOF

Agentic Engineer.

Richmond, VA · On-site

$106K - $127K/yr

Either Phone or In Person The client is seeking a highly skilled Agentic Engineer to design, develop that solve real-world problems. The ideal candidate will have experience in designing data process ...

Sonatype

Staff Software Engineer - Agentic First

More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. About the Role As an agentic-first Staff ...

Sonatype

Staff Software Engineer - Agentic First

OR · Remote

More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. About the Role As an agentic-first Staff ...

Solovis

Senior Agentic Software Engineer

$125K - $165K/yr

Senior Agentic Software Engineer Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence.

Sonatype

Staff Software Engineer - Agentic First

OR · On-site +1

More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. About the Role As an agentic-first Staff ...

RealPage, Inc.

Agentic AI Developer IV

Richardson, TX · On-site

$159K - $270K/yr

RealPage is accelerating the adoption of Generative AI and agentic engineering practices across its technology organization. The Internal AI Center of Excellence is responsible for enabling ...

Solovis

Senior Agentic Software Engineer

$125K - $165K/yr

Senior Agentic Software Engineer Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence.

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Agentic Developers information

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$35K

$71K

$230.5K

How much do agentic developers jobs pay per year?

As of Aug 20, 2026, the average yearly pay for agentic developers in the United States is $71,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $60,000.00 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.
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Agentic Developers jobs near you
Infographic showing various Agentic Developers job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $71,017 per year, or $34.1 per hour.

AI Agentic Engineer

Centraprise Corp

Detroit, MI • On-site

Other

Posted 8 days ago

Job description

Must Have Technical / Functional Skills
• Core Engineering & Programming: Strong software engineering fundamentals with expert-level proficiency in Python.  Experience with Java, Go, or TypeScript is a strong plus. 
• LLM & GenAI Application Development: Proven, hands-on experience building and deploying production-grade applications using Large Language Models (LLMs) like GPT, Claude, or Gemini. 
• This must go beyond simple API calls and include experience with tool/function-calling, structured outputs, and evaluation. 
• Agentic AI Frameworks & Orchestration: Demonstrable expertise in designing and implementing agentic workflows using frameworks like LangGraph, Semantic Kernel, AutoGen, or similar. 
• Experience with multi-agent systems, planning, and autonomous execution is critical. 
• RAG (Retrieval-Augmented Generation): Deep, practical knowledge of building and optimizing RAG pipelines. This includes data ingestion, various chunking strategies, embeddings, vector databases (e.g., Pinecone, Chroma, FAISS), and hybrid search/reranking. 
• Production & MLOps: Experience with production engineering practices, including building scalable APIs (REST, RPC), microservices, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, or Google Cloud Platform). 
 
Roles & Responsibilities
• Agentic System Design & Engineering: Architect, build, and deploy advanced AI agents capable of autonomous reasoning, decision-making, and self-directed task execution. Design and implement complex, multi-step agentic workflows that integrate with enterprise APIs, data sources, and platforms. 
• RAG and Grounding Implementation: Develop robust RAG pipelines to ground agent responses in factual, reliable data. This includes managing the full lifecycle from data ingestion and vectorization to retrieval and citation. 
• Tooling and Integration: Build and maintain the "tools" that agents use to interact with the digital world. Create secure, well-documented tool interfaces for internal services, databases, and third-party APIs.
• Evaluation, Guardrails & Safety: Design and implement comprehensive evaluation frameworks to measure agent performance, accuracy, and reliability. 
• Develop and enforce safety guardrails, policy checks, and fallback mechanisms to ensure agents operate safely and predictably in production environments. 
• Optimization and Productionization: Debug, monitor, and optimize agentic systems for latency, cost, and efficiency. Own the end-to-end deployment process, including CI/CD, structured logging, and incident response for AI systems. 
 
Generic Managerial Skills, If any
• Problem-Solving & Critical Thinking: Ability to analyze complex, ambiguous problems and design innovative, practical solutions. Thrives in navigating the uncertainty inherent in emerging AI technologies. 
• Collaboration & Communication: Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Proven experience working cross-functionally with product, research, and infrastructure teams. 
• Ownership & Leadership: A bias for action and a strong sense of ownership. Capable of driving projects from conception to completion, mentoring junior engineers, and helping to define and influence AI strategy and best practices

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