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Agentic Developers Jobs (NOW HIRING)

TMS

Agentic Software Engineer

Austin, TX · On-site

Agentic Software Engineer Duration: 12+ Months Location: Austin, TX & San Francisco , CA Role Summary: We are looking for Agentic Software Engineer who can combine strong software engineering ...

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 ...

IntraEdge

Agentic Software Engineer

Austin, TX

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 ...

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 ...

Saransh Inc

The Wiz Agentic Engineer - Only W2

Denver, CO · On-site

$81K - $108K/yr

The Wiz Agentic Engineer Location/s: Denver, CO / Atlanta, GA / Dallas, TX (Hybrid) Job Type: Contract (W2) GCP Yes 1 Azure Yes 1 AWS Yes 1 What are the top 3 skills required for this role? 1. setup ...

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How much do agentic developers jobs pay per year?

As of Jul 11, 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.

Is agentic AI going to replace developers?

Agentic AI refers to systems capable of autonomous decision-making, which can assist developers by automating routine tasks and code generation. However, it is unlikely to fully replace developers, as human oversight, creativity, and problem-solving remain essential in software development. Developers will continue to adapt by working alongside AI tools and focusing on complex, strategic aspects of their work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working in competitive tech environments, with compensation reflecting expertise and experience.

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 an agentic developer?

An agentic developer is a software developer who takes initiative and responsibility for their work, often demonstrating autonomy and proactive problem-solving. They are skilled in coding, collaboration, and may use tools like version control systems to manage projects effectively.

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.

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.

Are agentic AI developers in demand?

Agentic AI developers are in high demand as organizations seek professionals skilled in designing autonomous and adaptive AI systems. The role typically requires expertise in machine learning, programming, and AI frameworks, with job growth driven by increasing adoption of intelligent automation across industries.

What are agentic developers?

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.
More about Agentic Developers jobs
What cities are hiring for Agentic Developers jobs? Cities with the most Agentic Developers job openings:
What states have the most Agentic Developers jobs? States with the most job openings for Agentic Developers jobs include:
What job categories do people searching Agentic Developers jobs look for? The top searched job categories for Agentic Developers jobs are:
Agentic Developers jobs near you
Infographic showing various Agentic Developers job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $71,017 per year, or $34.1 per hour.
Agentic Software Engineer

Agentic Software Engineer

TMS

Austin, TX • On-site

Contractor

Posted 20 days ago

Job description

Role: Agentic Software Engineer
Duration: 12+ Months
Location: Austin, TX & San Francisco , CA 
Role Summary:
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 software at higher velocity and quality.
This role requires hands-on engineering depth in coding, system design, testing, debugging, DevOps, security, and production support. In addition, the engineer must be highly skilled at using AI coding assistants, autonomous agents, prompt-driven development workflows, test automation generation, code analysis, documentation automation, and AI-enabled refactoring.
The ideal candidate is not just a user of AI tools, but someone who can structure work so that AI can meaningfully accelerate delivery while maintaining engineering rigor.
⸻
Key Responsibilities:
Software Engineering:
Design, develop, test, deploy, and maintain scalable, secure, and reliable software applications.
Write clean, modular, maintainable, and well-tested code.
Apply strong computer science fundamentals including data structures, algorithms, distributed systems, APIs, databases, cloud-native design, and secure coding practices.
Participate in architecture, design reviews, code reviews, production support, and continuous improvement.
⸻
Agentic Engineering Workflow:
Use agentic development tools to execute multi-step engineering tasks such as feature implementation, defect remediation, code migration, unit test creation, API integration, and documentation updates.
Define guardrails for AI-generated work, including coding standards, security constraints, architectural patterns, testing expectations, and compliance requirements.
Measure and improve AI-assisted productivity, including cycle time, defect rate, test coverage, code review quality, and deployment frequency.
⸻
Quality, Security, and Governance:
Ensure AI-generated code meets enterprise standards for security, performance, observability, maintainability, and compliance.
Identify hallucinations, insecure patterns, flawed assumptions, dependency risks, and incomplete implementations in AI-generated output.
Apply secure software development practices, including threat modeling, secrets management, dependency scanning, static analysis, and secure API design.
⸻
Required Qualifications:
Strong proficiency in one or more programming languages such as Java, Python, JavaScript/TypeScript, Go, C#, or Kotlin.
Strong understanding of software engineering fundamentals, including:
• Object-oriented design
• API design
• Data structures and algorithms
• Databases and SQL/NoSQL
• Distributed systems
• Cloud-native development
• CI/CD
• Automated testing
• Secure coding
Hands-on experience with GenAI coding tools such as GitHub Copilot, Cursor, Claude Code, OpenAI Codex-style tools, Devin, Amazon Q Developer, Google Gemini Code Assist, or similar platforms.
Experience using AI to generate, test, refactor, explain, or modernize code.
Ability to critically evaluate AI-generated output instead of accepting it blindly.
Experience with unit testing, integration testing, test automation, and code quality tools.
Strong communication skills and ability to translate business needs into technical implementation.