Top Agentic AI Jobs Open Now

Over the past few months of mentoring aspiring engineers, I’ve seen the industry conversation change a lot. Instead of just discussing how to prompt large language models, we’re now focused on building systems that can act, reason, and handle complex tasks on their own. This shift has led to a big increase in Agentic AI jobs, and companies are eager to find people who know how to build and launch these autonomous systems in real-world settings.

Today, I’m sharing a list of the best Agentic AI jobs currently available in India, the US, and the UK.

Top Agentic AI Jobs You Should Apply For

These are some of the most interesting Agentic AI roles available right now.

1. NARBA – AI Enablement Specialist & Trainer (AI Agents), Location: India (Freshers)

NARBA is looking for recent graduates and early-career professionals who are interested in Generative AI and AI Agents. This role is not just about software development; it also involves helping teams adopt and learn about AI.

In this job, you’ll help teams learn to use AI Agents, run training sessions, create learning materials, show how AI-powered workflows work, and support AI projects across different teams.

Skills required:

1. Generative AI fundamentals
2. AI Agents and automation tools
3. Prompt engineering
4. Strong communication and presentation skills
5. Curiosity about emerging AI technologies

When I mentor beginners, I always suggest building at least three hands-on AI Agent projects before applying. A portfolio with examples of AI automation, RAG systems, or workflow assistants usually makes a stronger impression than certificates. Apply for this role here.

Preparing for Agentic AI jobs? Hands-On GenAI, LLMs & AI Agents helps you build portfolio-ready AI projects that stand out.

2. Cloudflare – Software Engineer, AI Agents, Location: India (Experienced)

Cloudflare is putting a lot of effort into building AI infrastructure, so this is a great chance for experienced software engineers who want to work on large-scale AI systems.

In this role, you’ll help build AI Agent infrastructure, make developer platforms better, add AI features to Cloudflare’s products, and improve scalable AI services.

Skills required:

1. Python or Go
2. Distributed systems
3. APIs
4. LLM integration
5. AI Agent frameworks
6. Cloud infrastructure

Cloudflare cares about solid engineering basics as much as AI skills. Good system design, networking knowledge, and experience with scalable backend development can really boost your chances. Apply for this role here.

3. Moonveil AI – AI Engineer Intern, LLM & AI Agents,  Location: US (Freshers)

Moonveil AI has a great internship for students and recent graduates who want to work with Large Language Models and AI Agents.

You’ll get to work on applications powered by LLMs, try out AI Agents, build new AI features, and team up with engineers to create smart products.

Skills required:

1. Python
2. Machine Learning fundamentals
3. LLMs
4. AI Agents
5. Prompt Engineering
6. Git

Internship recruiters usually care more about your GitHub projects than your grades. I suggest sharing complete AI projects with clear documentation, deployment steps, and real-world examples. Apply for this role here.

4. Hightouch – Software Engineer, AI Agents, Location: US (Experienced)

Hightouch is adding AI Agents to customer data and marketing workflows, so this is a great opportunity for experienced AI software engineers.

In this job, you’ll build AI Agents for real-world use, connect LLMs to customer platforms, make AI more reliable, and work closely with product teams.

Skills required:

1. Python
2. Backend engineering
3. APIs
4. LLM applications
5. AI Agent orchestration
6. Production software development

Companies like Hightouch want candidates who know about deployment, monitoring, debugging, and scaling, not just how to prompt an LLM. Showing production-ready AI projects can really strengthen your application. Apply for this role here.

5. Mackenzie Jones – Lead AI Engineer (GCP, ML & AI Agents), Location: UK (Experienced)

This leadership job is about creating enterprise AI solutions with Google Cloud Platform, Machine Learning, and AI Agent technologies.

You’ll lead AI projects, design scalable AI systems, mentor engineering teams, and manage enterprise AI deployments.

Skills required:

1. Google Cloud Platform
2. Machine Learning
3. AI Agents
4. LLM applications
5. Software architecture
6. Leadership experience

Leadership roles need more than just technical skills. Hiring managers look for people who can explain their design choices, mentor others, and deliver large-scale AI projects. Apply for this role here.

6. Talan – Lead Data Scientist (Classical ML, LLMs & AI Agents), Location: UK (Experienced)

Talan wants experienced data scientists who can connect traditional Machine Learning with new Generative AI and Agentic AI solutions.

You’ll build predictive models, add LLM-powered systems, design AI Agent workflows, and create AI solutions that solve business problems.

Skills required:

1. Machine Learning
2. Statistics
3. Python
4. LLMs
5. AI Agents
6. Data Engineering
7. Business problem solving

I’ve noticed that companies aren’t replacing classical Machine Learning with LLMs. They want engineers who know both. If you can show predictive modeling, retrieval systems, and AI Agents in your portfolio, you’ll stand out. Apply for this role here.

Recommended Courses to Land an Agentic AI Role

If you want to build a strong portfolio for these jobs, I highly recommend these two programs for learning about AI Agents:

1. Agentic AI Engineering Specialization: This program is great for developers who want to go beyond basic prompting and build reliable, multi-step workflows. It teaches modern frameworks like LangChain, LangGraph, and the Model Context Protocol (MCP), the same skills companies like Cloudflare and Hightouch are looking for.
2. Building AI Agents and Agentic Workflows Specialization: This hands-on series teaches you how to manage complex AI systems. You’ll learn to connect AI with tools, APIs, and databases, giving you the real-world deployment experience that companies want.

Both programs focus on building and deploying real autonomous agents, so you can create projects that make your resume stand out.

Summary

Here are the most exciting Agentic AI jobs available right now:

1. NARBA – AI Enablement Specialist & Trainer (AI Agents)
2. Cloudflare – Software Engineer, AI Agents
3. Moonveil AI – AI Engineer Intern, LLM & AI Agents
4. Hightouch – Software Engineer, AI Agents
5. Mackenzie Jones – Lead AI Engineer – GCP / Machine Learning / AI Agents
6. Talan – Lead Data Scientist (Classical ML, LLMs & AI Agents)

I hope you found this article on top Agentic AI jobs helpful.

For more AI and machine learning tips, follow me on Instagram. My book, Hands-On GenAI, LLMs & AI Agents, can also help you advance your AI career.