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Agentic Ai Jobs (NOW HIRING)

EdgeAll

Agentic AI

San Jose, CA · On-site

AI Developer - Agentic AI Location: San Jose, CA - Onsite Duration: 6-12 Months Contract Experience: 14+ Years Overall IT Experience Final Interview: Onsite in San Jose, CA Job Summary We are seeking ...

Grapevine Round1 AI

$180 - $240/hr

# Agentic AI EngineerBenchlingSan Francisco, United StatesPosted 8 Aug 2026Benchling is looking for a founding engineer to join their Intelligence Engineering & Enablement team to build agentic AI ...

Grapevine Round1 AI

Agentic AI Engineer

San Francisco, CA · On-site

$180 - $240/hr

# Agentic AI EngineerBenchlingSan Francisco, United StatesPosted 8 Aug 2026Benchling is looking for a founding engineer to join their Intelligence Engineering & Enablement team to build agentic AI ...

Fullstack Academy

Instructor - Agentic AI

Position Overview The Online Trainer - Agentic AI, Machine Learning & Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Location: Cleveland, OH, Pittsburgh, PA, or Dallas, TX (Locals Only) Work Mode : 5 Days Onsite Duration : Contract to Hire Years Of Exp : 7+ As a member of the leading US Bank ...

Danta Technologies

Agentic AI Engineer

Dallas, TX · On-site

Agentic AI Engineer Location: Dallas/Irving, TX / Basking Ridge, NJ / Atlanta, GA (Onsite/Hybrid position) Long-term position We are looking for independent candidates who can work on our company W2 ...

Lorven Technologies

Agentic AI Engineer

Agentic AI Engineer Location: Remote * 5-6 years of experience in Core Application Engineering * Minimum 2 years of hands-on experience in Agentic AI Engineering * Delivered at least 2 production ...

Lorven technologies

Agentic AI Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Agentic AI Engineer Location: Pittsburgh, PA, Dallas, TX OR Cleveland, OH - (5 days Onsite) Employment Type: Full Time Required qualifications to be successful in this role: * Should be good in AI ...

Danta Technologies

Agentic AI Engineer

Irving, TX · On-site

$45 - $47/hr

Agentic AI Engineer Location: Dallas/Irving, TX / Basking Ridge, NJ / Atlanta, GA (Onsite/Hybrid position) Long term position We are looking for independent candidates who can work on our company W2 ...

Percient Inc.

Agentic AI Engineer

Plano, TX · On-site

Agentic AI Engineer with React & AWS Location: Wilmington, DE / Columbus, OH / Plano, TX * 14+ years of software engineering experience with strong expertise in Agentic AI, Python, react, AWS.

Lorven Technologies

Agentic AI Engineer

Cleveland, OH · On-site

Title: Agentic AI Engineer Location: Pittsburgh, PA, Dallas, TX OR Cleveland, OH Employment Type: Full Time Required qualifications to be successful in this role: * Should be good in AI Agents ...

Humana Inc

NY · On-site

$130 - $200/hr

This role leads the design, development, and operation of foundational agentic AI platforms, tools, and services that empower development teams to build, deploy, and operate agent-driven applications ...

Stanfordclimateventures

Agentic AI Engineer

Houston, TX · On-site

$103.15 - $158.59/hr

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Fervo Energy

Agentic AI Engineer

Houston, TX

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Smart Synergies

Agentic AI Engineer

Reston, VA · On-site

$127K - $168K/yr

Job Summary Client is seeking a highly skilled Senior Agentic AI Engineer to design, develop, and deploy modern Agentic AI solutions. This role focuses on building production-grade Generative AI ...

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Agentic Ai information

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$35

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How much do agentic ai jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for agentic ai in the United States is $65.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $100.00 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.
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Cities with the most Agentic Ai job openings:

What are the most commonly searched types of Agentic Ai jobs?

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What states have the most Agentic Ai jobs?

States with the most job openings for Agentic Ai jobs include:

What job categories do people searching Agentic Ai jobs look for?

The top searched job categories for Agentic Ai jobs are:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $136,810 per year, or $65.8 per hour.

Agentic AI

EdgeAll

San Jose, CA • On-site

Other

Posted 4 days ago

Job description

AI Developer – Agentic AI

Location: San Jose, CA – Onsite
Duration: 6–12 Months Contract
Experience: 14+ Years Overall IT Experience
Final Interview: Onsite in San Jose, CA

Job Summary

We are seeking a highly experienced AI Developer with 14+ years of overall IT/software development experience and strong hands-on expertise in Python, Agentic AI, LangChain, and LangGraph. The ideal candidate will have extensive experience designing and developing AI agent-based systems, agentic workflows, and scalable AI/ML solutions using modern agent orchestration frameworks.

The candidate should be comfortable working in a 100% onsite environment in San Jose, CA and must be available for an onsite final interview.

Required Skills & Experience
  • 12+ years of overall IT/software development experience.
  • Expert-level proficiency in Python.
  • Strong hands-on experience with LangChain and LangGraph.
  • Extensive experience developing Agentic AI / AI Agent systems.
  • Hands-on experience with LlamaIndex, CrewAI, and AutoGen.
  • Strong understanding of AI/ML concepts, algorithms, models, and frameworks.
  • Experience with AI agent orchestration and multi-agent architectures.
  • Experience integrating AI solutions with AWS, Azure, or Google Cloud Platform.
  • Strong software development experience including:
    • Development
    • Unit/integration testing
    • Debugging and troubleshooting
    • Code reviews
    • Performance optimization
  • Experience designing scalable and production-ready AI applications.
  • Strong understanding of APIs, microservices, and cloud-based application integration.
  • Good communication and collaboration skills.
Key Responsibilities
  • Design and develop scalable AI agent-based applications and systems.
  • Build sophisticated Agentic AI workflows using LangChain, LangGraph, and related frameworks.
  • Develop and integrate autonomous AI agents for complex business use cases.
  • Implement multi-agent workflows and agent orchestration.
  • Integrate AI agents with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Work with LlamaIndex, CrewAI, AutoGen, and other emerging AI agent frameworks.
  • Optimize agent performance, reliability, scalability, and functionality.
  • Develop, test, debug, and maintain high-quality production code.
  • Participate in architecture discussions, technical design, and code reviews.
  • Collaborate with engineering, product, data, and other cross-functional teams.
  • Research and evaluate emerging Generative AI and Agentic AI technologies.
  • Translate business requirements into scalable AI-powered solutions.
Preferred Qualifications
  • Experience with LLMs, RAG, vector databases, embeddings, and prompt engineering.
  • Experience building multi-agent systems.
  • Knowledge of MCP (Model Context Protocol) and A2A (Agent2Agent) concepts.
  • Experience with REST APIs and cloud-native architectures.
  • Experience deploying AI applications into production environments.
  • Familiarity with Docker, Kubernetes, CI/CD, and DevOps practices is a plus.

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