Dynatrace

Agentic AI Developer (m/f/x)

Posted 2 Days Ago

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4 Locations

Remote or Hybrid

60K-60K Annually

Senior level

Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation

Dynatrace delivers answers and intelligent automation from data.

The Role

Develop and deploy agentic AI systems, optimizing and maintaining applications, fine-tuning models, and collaborating on product integration at Dynatrace.

Summary Generated by Built In

Your role at DynatraceAbout the role In this role, you’ll architect and deploy agentic AI systems to solve complex, real-world challenges and accelerate data-driven product innovation. You’ll bridge theory and practice – fine-tuning foundation models (LLMs/transformers), crafting prompt engineering and RAG solutions, and translating experimental results into scalable, production-grade AI services. We’re looking for a senior Full-Stack Engineer to take a significant role in developing our critical response AI Agents. If you’re passionate about developer experience and pioneering AI in software delivery, this is your chance to carry out the future of how modern teams build, deploy, and operate software at scale. What you’ll do

Build, optimize, and maintain agentic apps on Dynatrace, focused on critical incident response.
Fine-tune, deploy, and monitor foundation models (LLMs, transformers) and generative architectures.
Develop prompt engineering workflows and retrieval-augmented generation systems and innovative integration with MCP and A2A.
Collaborate closely with product, engineering, and research teams to integrate AI into customer-facing products.
Collaborate with 3rd party integrated products for an end-to-end solution.
Lead experimental design, data analysis, and performance benchmarking.

What will help you succeed

5+ years’ experience in applied application development.
Proficiency with Python (NumPy, pandas, PyTorch/TensorFlow) and strong coding skills in Java, C++ or React.
Hands-on experience fine-tuning and deploying LLMs and generative AI architectures.
Solid understanding of prompt engineering, RAG, and ML operations.
Excellent communication skills, with experience presenting to both technical and non-technical stakeholders.

Why you will love being a Dynatracer

Dynatrace is a leader in unified observability and security.
We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences.
Over 50% of the Fortune 100 companies are current customers of Dynatrace.

Compensation and Rewards

We offer attractive compensation packages and stock purchase options with numerous benefits and advantages.
Due to legal reasons, we are obliged to disclose the minimum salary for this position, which is € 60.000 gross per year based on full-time employment. We offer a higher salary in line with qualifications and experience.

Top Skills

C++

Java

Numpy

Pandas

Python

PyTorch

React

TensorFlow

What the Team is Saying

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The Company

HQ: Boston, MA

5,200 Employees

Year Founded: 2005

What We Do

Dynatrace lets customers understand their business like never before, so they can see beyond the complexity, find and fix problems faster and automate manual tasks with Al — so they can focus on what truly matters: running their business.

Why Work With Us

In a world that runs on software, our Al-driven insights cut through the noise, allowing you to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Our culture, fueled by curiosity, openness, and authenticity, drives our pursuit of innovation and excellence in crafting the Dynatrace platform.