Senior Software Engineer, GenAI GCBP

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 5 years of experience in software development across various programming languages. Your background includes 3 years of experience in testing, maintaining, or launching software products, and at least 1 year focused on software design and architecture. You possess 3 years of experience with ML infrastructure, including model deployment, evaluation, optimization, data processing, and debugging. Additionally, you have 1 year of experience with state-of-the-art Generative AI techniques, such as LLMs, Multi-Modal, and Large Vision Models, or related concepts like language modeling and computer vision.

You are familiar with developing and deploying AI solutions for enterprise applications and have a deep understanding of AI/ML concepts, algorithms, and software architecture. Your experience includes working with cloud platforms, particularly GCP, and you are knowledgeable about MLOps practices. As a strategic thinker, you can translate complex technical concepts into business value, making you a valuable asset to any team.

Desirable

Experience with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or agent-based systems is a plus. You have a strong grasp of AI/ML concepts and are comfortable navigating the complexities of software architecture.

What you'll do

In this role, you will lead the charge in testing agentic systems for robustness, creating strategies to mitigate risks such as prompt injection and tool-use failures. You will build automated systems to continuously validate agent behavior, analyze interaction data, and generate key insights needed to enhance the intelligence and reliability of our agents. Your contributions will directly impact how billions of users connect, explore, and interact with information and one another.

You will collaborate with cross-functional teams to develop next-generation technologies that extend beyond web search, ensuring that our products can handle information at massive scale. Your role will involve designing and implementing robust ML infrastructure that supports the deployment and evaluation of AI models, ensuring they meet the high standards expected at Google.

What we offer

At Google, you will be part of a team that values innovation and creativity. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. You will have access to a range of benefits, including competitive compensation, opportunities for professional growth, and a collaborative work environment that fosters learning and development. Join us in shaping the future of technology and making a meaningful impact on the world.