Bachelor's degree in Computer Science or equivalent experience.
Proficient in Python or TypeScript with modern frameworks.
Experience with applications powered by LLMs, including prompting and retrieval-augmented generation.
Skilled in designing evaluations for LLM or ML systems to enhance quality.
Proven track record of owning production software from design to deployment.
Experience using coding agents for developing code and tests.
Responsibilities
Act as an owner by proposing solutions and driving execution from concept to delivery.
Design and implement skills and tools for LLM agents that can search and reason over large datasets.
Ensure outputs are verifiable through grounding checks and automated reviews.
Lead the creation of evaluation suites with experts to measure accuracy and reasoning.
Deliver high-quality code with robust testing and monitoring for agent systems.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and parental leave.
Opportunities for professional development and training.
Access to cutting-edge technology and resources.
Collaborative and mission-driven work environment.
Full Job Description
Minimum qualifications:
Bachelor's degree in Computer Science, or equivalent practical experience.
Experience in Python or TypeScript with modern toolchains and frameworks.
Experience building/shipping applications powered by LLMs: prompting, tool use or function calling, retrieval-augmented generation, and agent orchestration.
Experience designing evaluations for LLM or ML systems and using them to drive measurable quality improvements.
Experience owning production software end-to-end, from design and implementation to deployment, monitoring and iteration on user feedback.
Experience using coding agents to develop code and tests to specification.
Preferred qualifications:
Experience with agent frameworks and protocols or agentic coding environments.
Experience with search and retrieval systems and citation or grounding verification.
Experience building products for legal, finance, compliance or other regulated, high-stakes domains, or working closely with domain experts.
Exposure to fine-tuning or reinforcement learning for LLMs, and experience on Google Cloud Platform.
Experience with agent safety, red teaming, and adversarial testing of autonomous AI systems.
Experience or research background in recursive self-improvement (RSI) architectures, automated self-correction, or self-evolving agent frameworks.
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Responsibilities
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.
Make outputs verifiable build grounding and citation checks, access-aware retrieval, and automated review of agent-authored knowledge, so every result can be audited back to its sources.
Lead evaluation build evaluation suites and datasets with subject matter experts, measure factual accuracy, citation fidelity and multi-step reasoning, and use the results to drive improvements.
Ship to production strong code quality, testing, CI/CD and monitoring for agent systems used daily by professionals.
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.
