Bachelor's degree in a related technical field or equivalent practical experience.
15 years of experience in engineering or a related function.
Experience with modern LLM stack, including agent architectures and large-scale evaluation.
Proficiency in software engineering and AI/ML modeling using Python and C.
Demonstrated technical leadership in multi-team, cross-functional projects.
Experience in information retrieval and large-scale data processing.
Responsibilities
Partner with product and research teams to create innovative features powered by Agera.
Develop across the full AI systems stack, including agent harnesses and custom retrieval indices.
Balance rapid prototyping with the need for clean, scalable code.
Lead complex projects from inception to delivery, aligning team goals and technical direction.
Drive convergence through working prototypes that bridge different team roadmaps.
Benefits
30% bonus target
Equity benefits
Comprehensive health and wellness programs
Flexible work arrangements
Professional development opportunities
Full Job Description
Minimum qualifications:
Bachelor's degree in related technical field, or equivalent practical experience.
15 years of experience in engineering or related function.
Preferred qualifications:
Experience with the modern LLM stack (e.g., agent architectures and harnesses, multi-agent swarms, post-training/fine-tuning/RL, or large-scale LLM evaluation).
Experience in software engineering, systems infrastructure, or AI/ML modeling using Python and C .
Experience with technical leadership and driving multi-team, cross-functional projects from inception to delivery.
Experience in information retrieval, search and ranking systems, clustering, or large-scale data processing infrastructure.
About the job
Going beyond standard long-context retrieval, we are developing the Agera Kernel-a scalable engine designed for "pre-computation of expertise." The system leverages map-reduce style processing, agentic exploration, and persistent memory states to allow models to ingest, structure, and deeply understand complex domains prior to user interactions.
By combining automated domain pre-computation with expert human calibration in Agera Studio, we aim to produce specialized Expert Models that significantly outperform foundational models on intricate, multi-turn tasks.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Partner with product and research teams across Google Deepmind (GDM) and Google to invent 0-to-1 features and products powered by Agera, identifying where Agera creates real leverage and aligning teams around a shared goal.
Develop across the full AI systems stack (e.g., agent harnesses and isolated subagent swarms, inspectable semi-structured state, vectorized tool execution, custom retrieval indices and universal reranking, large-scale evals, human-in-the-loop Studio UIs, and fine-tuning/expertise distillation into weights and skills).
Balance rapid, exploratory prototyping with the discipline to write clean, scalable code.
Lead complex engagements end-to-end, bridging different team roadmaps and constraints, setting technical direction, and driving convergence through working prototypes.
About Google
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.
