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Full Stack Engineer at Weekday's Client | San Francisco

weekday-1San Francisco, California, United States
On-site Full-time $180K/yr - $250K/yr

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Experience Level

Mid to Senior

Qualifications

Required Skills & Qualifications:Experience: 6–10 years in full stack development, with at least 2–3 years focused on AI-driven application projects. Technical Skills: Proficiency in Python, TypeScript, and experience with ETL processes. Education: Bachelor’s degree in Computer Science or a related field is preferred. Collaboration Skills: Ability to work closely with cross-functional teams. Problem-Solving: Strong analytical skills and a passion for innovation.

About the job

Join Our Innovative Team as a Full Stack Engineer!

As a key player in one of our esteemed client's projects, you'll be at the forefront of AI-driven application development. We are looking for a talented Full Stack Engineer with a robust skill set in Python, TypeScript, and ETL pipelines. This is an exciting opportunity to leverage your technical expertise to design and build scalable backend systems alongside creating user-friendly frontends that deliver insightful data through AI technologies.

Key Responsibilities:

  • Comprehensive Development: Architect and deploy top-notch AI-driven web applications while ensuring optimal performance and maintainability across the stack.
  • Backend Development: Engineer resilient server-side applications using Python (FastAPI, Flask, or Django), and integrate with databases, APIs, and AI/ML models.
  • Frontend Development: Craft dynamic and responsive user interfaces using TypeScript (React.js, Next.js, or Angular) to enhance user experience.
  • Collaboration: Partner with data scientists to seamlessly integrate machine learning models, ensuring efficient data flow and performance monitoring.
  • ETL Development: Design and optimize ETL processes for effective data collection and transformation from diverse sources.
  • API Development: Create and utilize RESTful and GraphQL APIs for seamless communication between systems.
  • Cloud Deployment: Utilize AWS, Azure, or GCP for deploying, scaling, and managing applications and ETL systems.
  • Quality Assurance: Implement automated testing strategies to maintain high software quality and reliability.
  • Continuous Learning: Stay updated with the latest technologies and propose innovative solutions to improve development practices.

About weekday-1

Weekday is a pioneering company that partners with innovative clients to drive AI-driven solutions across various industries. We pride ourselves on fostering a collaborative environment that encourages creativity and technical excellence.

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