Software Engineer, Applied AI Agents, Professional Intelligence

About the role

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.

Artificial intelligence will be one of humanity’s most transformative

inventions. At DeepMind, we are a pioneering AI lab with exceptional

interdisciplinary teams focused on advancing AI development to solve complex

global challenges and accelerate high-quality product innovation for billions of

users. We use our technologies for widespread public benefit and scientific

discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer

diverse learning opportunities and varied career pathways for those driven to

achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.