Software Engineer, Gemini App Skills Platform, DeepMind

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google LLC's DeepMind seeks a Software Engineer for the Gemini App Skills Platform to drive the next generation of agentic AI. You will help transform Gemini from a conversational assistant into an action-oriented universal agent, architecting systems for discovery, retrieval, and execution of modular skills across Google, DeepMind, and partner ecosystems.

You will work with production serving in C++ and Python evaluation pipelines, interfacing with Research, Product, and Platform teams to push

Qualifications

• Experience developing software with large language models, agentic workflows, tool use, or retrieval-augmented generation (RAG).
• Experience designing evaluation datasets, automated rating systems, or conducting error analysis and prompt optimization for generative models.

Responsibilities

• Design and build skill discovery, routing, and low-latency C++ serving components for Gemini across web, mobile, and Chrome.
• Pioneer dynamic system instructions, prompt representations, and semantic retrieval schemas for scaling skill catalogs.
• Design automated evaluation frameworks (auto-raters, simulators, benchmarks) to measure triggering precision, tool use, and parameter validity.
• Perform loss analysis on production telemetry, improve prompts/models to meet quality thresholds, and set reliability standards across the org.
• Collaborate with DeepMind Research, Search, Vertical teams and external engineers to onboard new modular capabilities.

Skills

LLM development

Agentic workflows

Tool use

RAG integration

Evaluation design

Prompt optimization

Error analysis

Tools

C++

Python

Job description

Software Engineer, Gemini App Skills Platform, DeepMind

Share Software Engineer, Gemini App Skills Platform, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

• Experience developing software with large language models, agentic workflows, tool use, or retrieval-augmented generation (RAG).
• Experience designing evaluation datasets, automated rating systems, or conducting error analysis and prompt optimization for generative models.

Preferred qualifications:

• Experience collaborating cross-functionally across research, product, and platform engineering teams to take novel AI features from prototype to production.
• Demonstrated ability to design experimental setups, analyze model telemetry, and define reproducible metrics for complex features.

About the job

Join DeepMind’s mission to solve intelligence and benefit humanity by building the next generation of agentic AI. As a Software Engineer on the Gemini App Skills Platform, you will be a key contributor to the extensible execution layer that transforms Gemini from a conversational assistant into an action-oriented, universal agent.

In this role, you will architect the systems that allow Gemini to discover, retrieve, and execute modular capabilities (skills) across Google, DeepMind, and third-party ecosystems. Your work will bridge foundation model intelligence and real-world execution spanning dynamic context engineering (system instructions), low-latency routing algorithms, and automated evaluation frameworks. While this role focuses heavily on Large Language Model (LLM) behavior and evaluation, you will dive directly into Gemini app’s production serving infrastructure (primarily C++) and Python evaluation pipelines to make high-impact, hands-on architectural enhancements. You will have an opportunity to operate at the center of Google’s flagship AI product. You will see your code, prompts, and evaluation standards actively shape the user experience for hundreds of millions of users across web, mobile (Android/iOS), and Chrome, helping define how people and AI interact with software.

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.

About the job

Join DeepMind’s mission to solve intelligence and benefit humanity by building the next generation of agentic AI. As a Software Engineer on the Gemini App Skills Platform, you will be a key contributor to the extensible execution layer that transforms Gemini from a conversational assistant into an action-oriented, universal agent.

In this role, you will architect the systems that allow Gemini to discover, retrieve, and execute modular capabilities (skills) across Google, DeepMind, and third-party ecosystems. Your work will bridge foundation model intelligence and real-world execution spanning dynamic context engineering (system instructions), low-latency routing algorithms, and automated evaluation frameworks. While this role focuses heavily on Large Language Model (LLM) behavior and evaluation, you will dive directly into Gemini app’s production serving infrastructure (primarily C++) and Python evaluation pipelines to make high-impact, hands-on architectural enhancements. You will have an opportunity to operate at the center of Google’s flagship AI product. You will see your code, prompts, and evaluation standards actively shape the user experience for hundreds of millions of users across web, mobile (Android/iOS), and Chrome, helping define how people and AI interact with software.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Design and build intelligent skill discovery, hybrid routing architectures, and low-latency C++ serving components across Gemini on web, mobile, and Chrome.
• Pioneer dynamic system instructions, prompt representations, and semantic retrieval schemas that enable Gemini to seamlessly navigate expanding skill catalogs without attention dilution or quality regressions.
• Design automated evaluation frameworks (auto-raters, simulated environments, and benchmarking suites) to rigorously measure single-turn triggering precision, multi-turn tool, and parameter validity.
• Perform in-depth loss analysis on production telemetry, drive iterative prompt/model hill-climbing to surpass quality thresholds, and set standards for system reliability and clean architecture across the organization.
• Partner closely with DeepMind Research, Search, Vertical teams (e.g., local, shopping), and external Engineering teams to onboard new modular capabilities onto the platform.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.