Found.dev
Role Highlights
Languages used
Python
SQL
Key skills
AI
NLP
Information Retrieval
Computer Vision
Data Exploration
Computer Science
Software Design
Data Processing
System Design
Data Warehousing
Full Stack
LLMs
Generative AI
Machine Learning
Infrastructure
Deployment
Optimization
Debugging
Multimodal
Modelling
PhD
Testing
Architecture
Search
Storage
Security
UI
Cloud
UX
Reliability
Tools, Libraries and Frameworks
GCP
BigQuery
Description
The role involves leading the technical strategy and architectural design of a core reasoning engine that converts natural language into SQL insights. The engineer will collaborate with cross-functional teams to define the future of agentic capabilities within BigQuery. Responsibilities include establishing engineering standards for performance, reliability, and observability of production-critical agent services. Additionally, the position requires mentoring team members and refining ambiguous, high-impact problems into actionable projects. The work focuses on advancing data-centric artificial intelligence capabilities to support complex enterprise data exploration.
Required Qualifications and Skills
Candidates must possess a Bachelor’s degree or equivalent practical experience, with a Master’s degree or PhD preferred. The role requires at least five years of software development experience, three years of experience with ML infrastructure, and one year of experience with GenAI techniques. Proficiency in Python and experience with distributed systems, data warehousing, and SQL are mandatory. Preferred qualifications include three years of experience testing and launching software products, as well as experience in software design, architecture, and enterprise applications.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Description
At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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