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Weekday AI

Proactive software engineer recruitment via referrals

Full Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$180k - $250kIn-person

About the Job

Requirements

  • Six to ten years of full-stack development experience, including at least two to three years working on AI-driven application projects.
  • Proficiency in Python for backend and API development and TypeScript for frontend applications.
  • Hands-on experience with Python frameworks such as FastAPI, Flask, or Django, and TypeScript-based frontend frameworks such as React, Angular, or Next.js.
  • Experience designing and maintaining ETL pipelines and working with data-processing tools such as Airflow or dbt.
  • Proficiency with relational and NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
  • Experience integrating AI/ML models into production workflows; TensorFlow, PyTorch, or scikit-learn experience is preferred within this qualification.
  • Familiarity with containerization using Docker or Kubernetes, CI/CD pipelines, and cloud services such as AWS Lambda, S3, GCP BigQuery, or Azure Data Factory.
  • Strong analytical and troubleshooting skills for addressing technical challenges in complex systems.
  • Experience working in agile, cross-functional teams and strong communication skills.

Responsibilities

  • Design, develop, and deploy high-quality AI-driven web applications, ensuring performance, scalability, and maintainability across frontend and backend.
  • Build server-side applications using Python frameworks and integrate them with databases, APIs, and AI/ML models.
  • Create responsive user interfaces with TypeScript-based frontend frameworks.
  • Collaborate with data scientists to integrate machine-learning models into production systems and monitor data flow and model performance.
  • Design, implement, and optimize ETL processes for collecting, transforming, and loading large datasets from multiple sources.
  • Develop and consume RESTful and GraphQL APIs to connect services and external systems.
  • Deploy, scale, and monitor applications and ETL pipelines in production cloud environments.
  • Implement automated unit, integration, and end-to-end testing to maintain software quality and reliability.
  • Work with data engineering, AI research, product management, and UX design teams to deliver features.
  • Keep current with emerging technologies, frameworks, and AI trends, and propose solutions to improve development practices.

Desired Qualifications

  • Prior experience with real-time data processing and streaming technologies such as Kafka or Spark.
  • Knowledge of MLOps best practices for model deployment and monitoring.
  • Understanding of data governance, security, and compliance standards.

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size
201-500
Company stage
Seed
Total funding
$2.3M
Headquarters
Bengaluru, India
Founded
2021

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