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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer, DeepMind - **Company:** Google LLC - **Location:** New York, NY, United States - **Salary:** $174,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Bioinformatics, Programming Tools, Python (Programming Language), Software Architecture, Software Engineering, Systems Integration, TypeScript, Large Language Models, Prompt Engineering, Generative AI, Machine Learning Operations - **Published:** August 4, 2026 - **Apply:** https://www.juju.com/job/00000000glnlzo ## About the Role + Bachelor's degree or equivalent practical experience. + 5 years of experience with software development and experience with coding in Python, JavaScript/TypeScript, or similar languages. + 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. + Experience with Machine Learning systems or Large Language Models (LLMs). + Experience in a customer-facing role, managing client relationships or external stakeholders. Preferred qualifications: + Experience working with developer tools, APIs, SDKs, or platform integration. + Ability to collaborate directly with external customers or partners in a technical capacity. + Ability to work independently with minimal oversight across global time zones. + Excellent technical writing and communication skills, along with the ability to produce documentation, tutorials, or engineering case studies. ## Description The team works at the intersection of Engineering, Product, and Community. We advocate partner success and model excellence by embedding with DeepMinds (DM's) most strategic developers. Through collaborative engineering, joint benchmarking, and feedback loops, we run systematic evaluations (evals) to accelerate model improvements, unblock key integrations, and showcase Gemini's capabilities at scale. As a Forward Deployed Engineer (FDE), you will serve as the technical bridge between DeepMind's model teams and our most strategic partners. Embedded directly in the partner's engineering journey, you will design joint evaluations, unblock complex integrations, and synthesize high-fidelity technical signals to directly influence model development. This role demands a combination of technical expertise, customer empathy, and the autonomy to operate effectively across global time zones. Artificial intelligence will be one of humanity's most transformative inventions. At Google 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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . Responsibilities + Embed with strategic partners, own the technical relationship with top strategic partners, helping them architect, optimize, and build production-grade GenAI applications. Serve as the primary technical escalation path for strategic partners during critical launch windows and production issues. + Drive joint evaluations and benchmarking, build and run systematic evals on partner-specific datasets to deliver high-fidelity performance signals directly to modeling teams. + Optimize GenAI workloads, guide partners on advanced implementation techniques, including prompt engineering, complex Retrieval-Augmented Generation (RAG) architectures, and multimodal integrations. + Author high-visibility case studies, developer blogs, and reference implementations to showcase Gemini's production capabilities. + Build feedback loop tooling, collaborate with product engineering to develop tooling that aggregates and surfaces developer feedback patterns at scale. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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. ## Related Videos - [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) - [Vuejs and TypeScript- Working Together like Peanut Butter and Jelly](https://www.wearedevelopers.com/videos/127-vuejs-and-typescript-working-together-like-peanut-butter-and-jelly) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Got AI ideas but no money? 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