Software Engineer, AI Products

Snapshot

We are seeking a highly motivated and innovative Software Engineer, AI Products to join us in rapidly exploring and implementing the state-of-the-art Gemini models across core Google products. You will work directly with engineering, product, and research teams in Google DeepMind to quickly ideate, build, and iterate on proof-of-concept integrations that leverage cutting-edge AI capabilities. This role is about moving fast to validate new ideas, utilizing the latest advancements in multimodal large language models (vision, audio, text) to build functional, tangible prototypes. You will need to be a flexible, full-stack thinker, capable of jumping between different parts of the stack—from hacking together an agent harness for Gemini to quickly bringing up an end-to-end application demo for proving out product experiences. In this role, you will apply your broad engineering expertise to create the initial sparks that could eventually impact users globally.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

As a Software Engineer, AI Products at Google DeepMind, you will be at the forefront of translating research into tangible product concepts. You will drive the rapid development of experimental Gemini-powered features, pushing the boundaries of what's possible to create novel agentic services and “zero-to-one” engaging user experiences. Further, you will be collaborating with multiple product surfaces across Google to bring to life some of these experiences.

About You

You are a passionate and talented software engineer with a versatile, full-stack AI skillset and a proven ability to rapidly prototype and iterate on ideas. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious, undefined challenges. You are passionate about seeing AI research translated into real-world product concepts and are eager to work in an environment where speed of experimentation is key to long-term impact. You are a flexible thinker who can creatively solve problems up and down the stack to get compelling demos and experiences working in product form factor.

Requirements

• Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• A minimum of 5 years of relevant professional experience.
• Experience with core software engineering and building highly available, high-traffic production systems.
• Experience training, deploying and operating large machine learning models (LLMs or similar) in a high-scale, low-latency production environment.
• Solid understanding of distributed systems, cloud computing principles, and performance optimization.
• Proven track record in "zero-to-one" development—transforming raw ideas into rapid prototypes and full stack experience driving them through to full production.
• Strong programming skills in Python and C++.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, particularly for inference and serving.
• Excellent communication and collaboration skills.

In addition, the following would be an advantage:

• Full-stack engineering experience, comfortable working with frontend frameworks (e.g., React, Flutter, or simple web UIs) to visualize ideas, as well as backend services to power them.
• Strong track record in delivering features that leverage cutting-edge AI (e.g., LLMs, multimodal models) to a large user base.
• Deep understanding of end to end system architecture and adapting to new technologies and modern design.
• Significant prompt engineering experience, deep understanding of evaluation strategies and familiarity with pretraining, post-training concepts.
• Familiarity with multimodal data and processing pipelines (vision, audio, text).

Key skills/competency

• AI Development
• Machine Learning
• Prototyping
• Full-Stack Engineering
• LLM Deployment
• Multimodal Models
• Distributed Systems
• Python & C++
• ML Frameworks (JAX, TensorFlow, PyTorch)
• Production Systems