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Job Description:
Broadcom Software
Senior AI Engineer
Vienna, Austria
Are you driven by designing sophisticated tools that solve complex problems for brilliant technologists and influential leaders? Do you thrive in a collaborative team environment dedicated to crafting exceptional product experiences, where we prioritize having fun, building connections, and working together across locations, time zones, and roles? Do you want to create, share, teach, learn, and innovate with us as we explore the transformative power of intelligent software tools?
If this resonates with you, we are searching for talented engineers to join our Agile Teams within the Automic Automation Engineering group in the Agile Operations Division (AOD) of Broadcom Software. Join us and revolutionize how intelligent automation looks and feels in a modern software factory.
Our teams value respect, trust, and transparency, collaboration and teamwork, fostering a fun atmosphere, and giving back to the community. We believe that diverse perspectives and backgrounds make us stronger, enhance our products, and lead to happier customers.
What You Will Achieve
In this role, you can expect to:
Develop AI-driven applications using Java, Python, and cutting-edge backend frameworks.
Develop and optimize prompt engineering techniques to fine-tune Large Language Model (LLM) outputs, ensuring technical robustness and precision.
Design and implement automated testing frameworks specifically for LLM response quality, including unit tests, integration tests, and regression checks.
Architect data pipelines to preprocess and manage extensive datasets used for prompt tuning and Retrieval-Augmented Generation (RAG) setups.
Integrate vector search systems (e.g., FAISS) and other retrieval mechanisms to support RAG methodologies.
Build scalable and reproducible infrastructure for model training, deployment, and continuous evaluation, leveraging containerization (Docker, Kubernetes) and cloud platforms.
Utilize open-source frameworks and libraries (e.g., Hugging Face Transformers, PyTorch, TensorFlow) to enhance model performance and deployment workflows.
Skills & Experience
To be considered for this position, you must possess:
An advanced degree in Computer Science, Machine Learning, or a related technical field.
Extensive hands-on experience with prompt engineering, including techniques such as few-shot learning, chain-of-thought prompting, and prompt tuning.
Proven expertise in training, fine-tuning, and optimizing pre-trained LLMs using frameworks like PyTorch or TensorFlow.
Solid experience with Retrieval-Augmented Generation (RAG) methodologies and integrating vector search technologies.
Proficiency in Python and familiarity with automated testing tools and frameworks to ensure robust model evaluation.
In-depth knowledge of scalable deployment strategies, including containerization (Docker, Kubernetes), cloud services (AWS, GCP, or Azure), and CI/CD pipelines.
JAVA Development Skills are considered an advantage, e.g. using frameworks like Spring-Boot with Spring-AI.
Broadcom Software Group – Agile Operations Division
Broadcom Software Group is a global enterprise software company focused on modernizing, optimizing, and securing complex technology environments. Broadcom Software’s engineering-centered approach delivers a comprehensive portfolio of enterprise solutions that enable innovation, reliability, and scalability for major organizations.
In the Agile Operations Division, we deliver software that helps enterprises adapt and improve processes. Our ValueOps, DevOps, and AIOps products are designed to achieve measurable outcomes for customers.
We have a long-standing record of delivering tools to teams managing critical software environments. We work with purpose, based on practical needs, and maintain effective collaboration with both customers and colleagues. Our team environment encourages continuous learning and technical development.
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.
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