Lead Full

San Jose, California

Intelletec Limited
Apply for this Job
Join our dynamic and rapidly expanding engineering team as a Lead Full-Stack Engineer. You will be pivotal in building and maintaining a large-scale platform that allows experts to train and tutor AI systems. Your contributions will significantly impact the development of innovative AI capabilities and play a crucial role in shaping the future of AI alignment.

Your Impact:
  • Design and develop highly scalable, user-friendly interfaces that empower AI trainers to optimize large language models (LLMs) and advance AI technology.
  • Collaborate with engineers, product managers, and designers to implement new features, address complex issues, and maintain a high-quality, efficient codebase.
  • Confront and resolve challenging engineering problems to enhance system performance, scalability, and adaptability in an ever-evolving AI landscape.
  • Champion engineering quality by proposing process enhancements that boost team efficiency and accelerate product development cycles.
  • Foster a culture of learning by documenting technical decisions, creating clear guides, and mentoring fellow team members to enhance collective expertise.
What You Bring:
  • 5+ years of experience in full-stack development, demonstrating strong skills in both frontend and backend technologies.
  • Expertise in modern technologies including TypeScript, Node.js, GraphQL, with experience in Python, Kubernetes, and Google Cloud services (MySQL, Spanner, GCS, PubSub).
  • At least 2 years of frontend development experience with frameworks such as React/Redux or Angular.
  • A deep sense of ownership, consistently seeking improvements in both product quality and team collaboration.
  • An agile mindset that thrives in fast-paced environments, tackling complex technical challenges with innovative solutions.
Tech Stack:
  • Frontend: React.js, Redux, TypeScript
  • Backend: Node.js, TypeScript, Python, Java, Kotlin
  • APIs: GraphQL
  • Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
  • Databases: MySQL, Spanner, PostgreSQL
  • Queueing / Streaming: Kafka, PubSub
Date Posted: 16 May 2025
Apply for this Job