Full Stack Engineer

# Full Stack Engineer

> Weekday AI · San Francisco, United States · Full-time · Posted 2025-08-08

**Workplace:** on_site

**Department:** Weekday's Partner Client

## Description

**This role is for one of the Weekday's clients**

**Salary range:** $180k - $250k**Experience: 6+** YoE

We are seeking an experienced **Full Stack Engineer** with a strong background in **AI-driven application development**, **Python**, **TypeScript**, and **ETL pipelines**. The ideal candidate will bring deep technical expertise across the stack, from designing and implementing scalable backend systems to creating intuitive and responsive frontends. You will play a key role in building, integrating, and optimizing systems that process and transform large datasets into actionable insights, leveraging AI technologies to deliver intelligent features.

## Requirements

### **Key Responsibilities**

• **End-to-End Development:** Design, develop, and deploy high-quality AI-driven web applications, ensuring performance, scalability, and maintainability across both frontend and backend.
• **Backend Engineering:** Build robust server-side applications using **Python** (FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models.
• **Frontend Development:** Create engaging and responsive user interfaces with **TypeScript** (React.js, Next.js, or Angular), ensuring an exceptional user experience.
• **AI Integration:** Collaborate with data scientists to integrate machine learning models into production systems, ensuring seamless data flow and model performance monitoring.
• **ETL Pipeline Development:** Design, implement, and optimize **ETL processes** to efficiently collect, transform, and load large-scale datasets from multiple sources.
• **API Design & Integration:** Develop and consume RESTful and GraphQL APIs for communication between services and external systems.
• **Cloud Deployment:** Work with AWS, Azure, or GCP to deploy, scale, and monitor applications and ETL pipelines in production environments.
• **Testing & Quality Assurance:** Implement automated testing strategies (unit, integration, and end-to-end) to maintain software quality and reliability.
• **Collaboration:** Work closely with cross-functional teams including data engineering, AI research, product management, and UX design to deliver impactful features.
• **Continuous Improvement:** Stay current with emerging technologies, frameworks, and AI trends to propose innovative solutions and improve development practices.

### **Required Skills & Qualifications**

• **Experience:** 6–10 years in full stack development, with at least 2–3 years in AI-driven application projects.
• **Programming Expertise:** Strong proficiency in **Python** for backend/API development and **TypeScript** for frontend applications.
• **Frameworks:** Hands-on experience with Python frameworks (FastAPI, Flask, Django) and TypeScript-based frontend frameworks (React, Angular, or Next.js).
• **ETL & Data Engineering:** Proven track record in designing and maintaining **ETL pipelines** and working with data processing tools (Airflow, dbt, or similar).
• **Databases:** Proficiency in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, or similar).
• **AI/ML Integration:** Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch, or scikit-learn.
• **Cloud & DevOps:** Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along with cloud services (AWS Lambda, S3, GCP BigQuery, Azure Data Factory).
• **Problem Solving:** Strong analytical and troubleshooting skills, with the ability to address technical challenges in complex systems.
• **Collaboration:** Excellent communication skills and a track record of working in agile, cross-functional teams.

### **Preferred Qualifications**

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

## Apply
[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/5493067ED2/apply)
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