Staff Software Engineer, AI Product Development
TLM / Staff Software Engineer - AI Product Dev Team
Location: Santa Clara, CA
Department: Engineering
Work Location: hybrid
About the Job
- Build the next generation of Talent Management software using cutting-edge technology (e.g., building agentic experiences with LLMs).
- Architect and execute on platform-level improvements with a focus on quality, performance, design, and reusability.
- Define the roadmap for multi-quarter initiatives involving multiple cross functional teams.
- Write clean, scalable and performant code.
- Identify and advocate for improvements to the technical foundation and architecture.
- Prototype new ideas and collaborate to define the roadmap for taking them to production.
- Raise the bar for the team on technical designs and decisions.
- Mentor and coach lead engineers on the team.
- Work with engineering and product leadership on strategy and roadmap.
- Stay up-to-date with emerging trends and technologies in AI-assisted product development.
- Handle enterprise customer escalation issues as needed.
- BS/MS in Computer Science or equivalent experience preferred.
- 10+ years of hands-on experience in building and scaling user-facing products, preferably in the SaaS domain.
- Experience leading multi-quarter initiatives involving multiple cross functional teams.
- Ability to write clean, scalable, and performant code.
- Strong understanding of scalability, reliability, and performance optimization
- Proficient in data storage platforms (SQL, NoSQL), distributed systems, and analytics.
- Experience with search platforms (Solr, Lucene) and AI platforms is preferred.
- Ability to weigh pros and cons of different approaches and make judgment calls.
- Ability to collaborate across functional and organizational boundaries.
- Proven ability to mentor and coach experienced engineers.
- Languages & Frameworks: Python, Flask, React, Typescript, Webpack, NextJS.
- Data & Infrastructure: MySQL, Solr, Apache Airflow, Apache Spark, Docker.
- Cloud Services: Major AWS services like Aurora, S3, Redshift, Cloudformation, SNS, SQS.
- AI & ML: Extensive use of ML models and LLMs.
SoftBank Vision Fund 

