Bachelor's degree in Computer Science or equivalent experience.
Proficient in Python with modern frameworks like FastAPI and Pydantic.
Experience in building data pipelines using tools like Apache Beam and Spark.
Familiarity with various data storage solutions and their trade-offs.
Skilled in using coding agents for developing code and tests.
Responsibilities
Act as an owner by asking questions and driving execution from concept to delivery.
Design and implement capabilities for LLM agents, including skills and plugins.
Focus on code quality and product reliability through testing and monitoring.
Implement detailed access controls across databases and ensure logging of access.
Leverage AI coding agents to enhance team productivity.
Benefits
15% bonus target
Equity options
Comprehensive health benefits
Flexible work arrangements
Professional development opportunities
Full Job Description
Minimum qualifications:
Bachelor's degree in Computer Science, or equivalent practical experience.
Experince in Python with modern toolchains and frameworks (e.g., uv, ruff, FastAPI, Pydantic).
Experience building and operating data pipelines (e.g., one or more of Apache Beam, Dataflow, Flink, and Spark), and with trade-offs between batch and streaming designs.
Experience with data storage solutions (e.g., SQL/Postgres, NoSQL, blob storage, search indexes, vector databases) and the trade-offs between them.
Experience using coding agents to develop code and tests to specification.
Preferred qualifications:
Experience with infrastructure-as-code (e.g., Terraform) and serverless or container platforms (e.g., Cloud Run, GKE).
Experience implementing access control and security in data systems (e.g., row-level security, IAM, VPC Service Controls), or working with sensitive or regulated data.
Experience with document processing at scale (e.g., OCR, PDF/Office rendering, e-discovery or load-file formats).
Experience in start-up-like environments where priorities can change quickly, and joy in learning new technologies and teaching teammates.
Exposure to production systems that rely heavily on ML models, including batch inference with large language models.
About the job At DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.
Act like an owner ask questions, propose solutions, build consensus, and drive execution from concept to delivery.
Build agent capabilities design and implement skills, plugins and typed tools for LLM agents that search, read, reason over and cite large private corporate.
Engineer for production an intense focus on code and product quality, testing, CI/CD, monitoring and on-call. Keep live systems healthy while the next generation is built.
Implement fine-grained, per-document access controls across search indexes, databases and storage, and make sure every access is logged.
Multiply your impact with AI: use the latest AI coding agents to move fast, and help the team do the same.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
