Forward Deployed Engineer, DeepMind

Job description

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. Minimum Qualifications: 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.