What is an Agentic AI Developer?

• Blockchain Council
• January 31, 2025

Artificial intelligence has come a long way, introducing concepts that push technology toward greater independence. One of these advancements is agentic AI, a type of artificial intelligence that makes decisions and performs actions on its own. The professionals behind this innovation—agentic AI developers—focus on designing systems that function without needing constant human guidance.

Understanding Agentic AI

Agentic AI refers to smart systems capable of observing their surroundings, processing details, and taking steps to meet specific objectives. These AI-driven agents gather information, analyze situations, make choices, and refine their performance over time through experience. Unlike traditional AI models that rely heavily on pre-set instructions, these systems adapt dynamically and operate more independently.

What Does an Agentic AI Developer Do?

The role of an agentic AI developer involves building, improving, and overseeing artificial intelligence that can function with minimal human intervention. Their responsibilities include:

• Programming Independence: Writing algorithms that allow AI to handle tasks without requiring step-by-step instructions.
• Developing Learning Systems: Implementing techniques that enable AI to adjust based on previous interactions.
• Establishing Ethical Boundaries: Setting safeguards to make sure AI follows principles that align with human values.

Steps to Becoming an Agentic AI Developer

Getting into this field requires both technical expertise and hands-on practice. Here’s how someone can work toward becoming an expert in this area:

1. Building a Strong Knowledge Base

Having a strong background in computer science or similar areas is beneficial. Knowing programming languages, especially Python, is important since it’s commonly used for AI work. Understanding how data structures, algorithms, and software systems work is also valuable.

2. Gaining AI and Machine Learning Skills

Gaining skills in artificial intelligence and machine learning is crucial. This involves learning about neural networks, computer vision, and natural language processing. Many materials, such as books, workshops, and online courses, can help improve understanding in this field.

3. Applying Knowledge Through Hands-On Projects

Just studying theory won’t be sufficient—hands-on practice matters. Those interested should take on small AI projects, join coding contests, or help with open-source AI efforts. This hands-on work helps them understand real-world applications and problem-solving approaches.

4. Focusing on Agentic AI Development

For those who want to specialize in agentic AI, specialized training can be beneficial. Programs such as Certified Agentic AI Developer™ Interactive Live Training offer in-depth instruction on designing, refining, and deploying independent AI agents.

This type of training covers AI structures, advanced development tools, and industry-recognized best practices. Participants engage in live sessions where they learn by doing, developing skills that help them create AI capable of making decisions and adjusting to different situations.

5. Building a Strong Portfolio

Having a well-documented collection of projects can showcase skills to future employers or clients. A portfolio with descriptions, sample code, and results demonstrates an individual’s ability to create AI that functions independently.

6. Engaging with the AI Community

Joining AI-focused groups, attending technology conferences, and engaging in online discussions can provide valuable networking opportunities. Connecting with others in the industry can open doors for collaborations, mentorships, and staying updated on advancements.

7. Staying Up to Date with Advancements

The AI field is constantly evolving, and keeping up with new tools, research, and techniques is necessary. This can involve taking advanced courses, reading industry publications, and experimenting with different approaches to stay ahead.

Latest Advancements in Agentic AI

Recent developments have made agentic AI more sophisticated and widely used across industries. Here are a few key updates:

• OpenAI’s Operator: A system designed to handle browser tasks like filling out forms and making online purchases, showing how AI can take over complex workflows.
• JetBrains’ Junie: A tool that assists programmers by handling coding assignments independently, streamlining software development.
• ServiceNow’s AI Agent Studio: A platform allowing users to create custom AI agents that can manage tasks automatically.
• NVIDIA’s AI Blueprints: Resources designed to help developers create agentic AI applications for automating various industry-specific processes.
• Google’s Gemini 2: An advanced AI model capable of performing complex tasks, showing a significant leap toward AI autonomy.

Where Agentic AI is Making an Impact

This technology is being applied across multiple industries to improve efficiency, reduce workload, and enhance user experiences. Here are a few areas where it’s making a difference:

• Customer Support: AI-driven chatbots and assistants handle questions, provide solutions, and resolve issues without needing human intervention.
• Healthcare Services: Automated agents assist with scheduling, patient interactions, and providing medical guidance, improving accessibility.
• Software Engineering: AI tools like Junie support developers by managing repetitive coding tasks, increasing productivity.

Challenges in Agentic AI Development

Developing AI systems that can function independently comes with obstacles. Some of the main challenges include:

• Ensuring Accuracy: AI must complete tasks correctly and consistently, especially when handling sensitive or critical applications.
• Ethical Considerations: Developers must create AI that follows ethical guidelines and avoids harmful consequences.
• Managing Complexity: Designing AI that can handle multi-step tasks requires advanced reasoning and problem-solving capabilities.

The Future of Agentic AI Development

The future looks promising for this branch of artificial intelligence. As technology continues advancing, AI systems will become even more capable of managing increasingly sophisticated tasks across various sectors. Developers will need to continuously improve their skills and stay informed about the latest breakthroughs to stay competitive in this evolving space.

Final Thoughts

Agentic AI is a significant step forward in artificial intelligence, allowing machines to function with greater independence. Developers specializing in this area play a major role in creating systems that improve efficiency, enhance automation, and drive technological progress. As this field continues to grow, keeping up with advancements and understanding the challenges involved will be key for those looking to build a career in agentic AI.