Senior Full

San Mateo, California

Intelletec Limited
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We are on the hunt for a talented Senior Full-Stack Developer to join our dynamic engineering team. In this role, you will be instrumental in building and maintaining a large-scale platform dedicated to helping experts train and tutor AI systems. Your contributions will have a significant impact on the evolution of advanced AI technology, particularly in the area of AI alignment.

Your Impact:
  • Design and develop scalable, user-friendly interfaces that enable AI trainers to enhance LLMs and make meaningful advancements in the field of AI.
  • Collaborate with a diverse team of engineers, product managers, and designers to implement new features, address challenges, and uphold a top-quality codebase.
  • Confront complex engineering challenges aimed at boosting system performance, scalability, and flexibility within the fast-paced AI landscape.
  • Promote engineering excellence by recognizing and implementing process improvements that enhance team productivity and speed up product development.
  • Foster a culture of knowledge sharing through clear documentation of technical decisions, creating helpful guides, and mentoring fellow teammates to enhance team skillsets.
What You Bring:
  • 5+ years of full-stack development experience, showcasing proficiency in both frontend and backend technologies.
  • Expertise in modern languages and frameworks, including TypeScript, Node.js, GraphQL, alongside experience with Python, Kubernetes, and Google Cloud services (MySQL, Spanner, GCS, PubSub).
  • At least 2 years of frontend development experience using frameworks such as React/Redux or Angular.
  • A strong sense of ownership, consistently seeking ways to improve both product quality and team dynamics.
  • An agile mindset, thriving in rapid-paced environments and addressing intricate 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: 29 March 2025
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