Full Stack Engineer

Weekday 1; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Weekday is seeking an experienced Full Stack Engineer to build AI-driven applications. You will work across the stack with Python on the backend and TypeScript on the frontend, integrating ML models and robust ETL pipelines.

The role involves designing scalable systems, APIs, and cloud deployments in a data-heavy environment. You will collaborate with data scientists and cross-functional teams to deliver high-quality, scalable software, while staying current with AI trends and best practices for

Qualifications

• 6–10 years in full stack development with AI-driven projects
• Strong Python backend/API experience
• Strong TypeScript frontend experience
• Proven ETL pipeline design and data engineering
• Experience with AI/ML model integration into production
• Cloud and DevOps familiarity (AWS/Azure/GCP)
• Proficiency with relational and NoSQL databases
• Experience with CI/CD and containerization

Responsibilities

• End-to-End Development: design, develop, deploy AI-driven web apps across frontend and backend
• Backend Engineering: build server-side apps using Python frameworks with DB/API integration
• Frontend Development: create responsive UIs using TypeScript frameworks
• AI Integration: collaborate with data scientists to deploy ML models
• ETL Pipeline Development: design and optimize ETL processes across sources
• API Design & Integration: develop RESTful and GraphQL APIs
• Cloud Deployment: deploy and monitor apps and ETL pipelines in the cloud
• Testing & QA: implement unit/integration/e2e tests
• Collaboration: work with data engineering, AI research, product, and UX
• Continuous Improvement: stay updated on AI trends and improving practices

Skills

Python

TypeScript

AI/ML Integration

ETL Pipelines

Python Frameworks

Frontend Frameworks

APIs

Databases

Cloud Platforms

Docker/Kubernetes

CI/CD

Tools

Airflow

dbt

Docker

Kubernetes

Kafka

Spark

REST/GraphQL

Job 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.

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.