Weekday AI

60 Weekday Ai Full Stack Software Engineer Jobs Hiring Near You

Full Stack Engineer

San Francisco, CA ยท On-site

$180K - $250K/yr

This role is for one of the Weekday's clients Salary range: $180k - $250k Experience: 6+ YoE We are ... Design, develop, and deploy high-quality AI-driven web applications, ensuring performance ...

Full Stack Engineer

San Francisco, CA ยท On-site

$180K - $250K/yr

This role is for one of the Weekday's clients Salary range: $180k - $250k Experience: 6+ YoE We are ... Design, develop, and deploy high-quality AI-driven web applications, ensuring performance ...

This job is for a client of Weekday. One of the fastest growing YC startups. We will fast track ... a full-stack engineer to help us build and scale our AI-powered experience editor. You'll work ...

This job is for a client of Weekday. One of the fastest growing YC startups. We will fast track ... a full-stack engineer to help us build and scale our AI-powered experience editor. You'll work ...

This job is for a client of Weekday. One of the fastest growing YC startups. We will fast track ... a full-stack engineer to help us build and scale our AI-powered experience editor. You'll work ...

This role is for one of the Weekday's clients Salary range: Rs 10000000 - Rs 20000000 (ie INR 100 ... Basic conceptual knowledge of software and AI architectures, APIs, and the ability to analyze ...

Senior AI Agent Engineer

$107K - $146K/yr

This role is for one of the Weekday's clients Now Hiring: Senior AI Agent Engineer Remote - United States Contract Position 6+ Months An innovative organization specializing in AI and investment ...

This role is for one of the Weekday's clients Salary range: Rs 10000000 - Rs 20000000 (ie INR 100 ... Basic conceptual knowledge of software and AI architectures, APIs, and the ability to analyze ...

This role is for one of the Weekday's clients Salary range: Rs 10000000 - Rs 20000000 (ie INR 100 ... Basic conceptual knowledge of software and AI architectures, APIs, and the ability to analyze ...

Software Engineer - Open 3D Engine (O3DE) Job Type: Contractor Location: Remote Job Summary: In ... No previous experience in AI is necessary - what counts is your domain knowledge. Requirements Key ...

This role is for one of the Weekday's clients JobType: full-time Job Title: AI Delivery Manager (10 ... Lead distributed and global teams comprising engineering, data science, and product professionals.

This role is for one of the Weekday's clients JobType: full-time Job Title: AI Delivery Manager (10 ... Lead distributed and global teams comprising engineering, data science, and product professionals.

This role is for one of Weekday's clients. We are currently helping hire for one of the leading AI ... engineer, researcher, or scientist) experience Skills: Strong attention to detail, excellent ...

This role is for one of the Weekday's clients JobType: full-time Job Title: AI Delivery Manager (10 ... Lead distributed/global teams across engineering, data science, and product * Establish delivery ...

This role for one of Weekday's clients. We are currently helping hire for one of the leading AI ... engineer or researcher) Location : Must be currently based out of the US Benefits Benefits ...

This role for one of Weekday's clients. We are currently helping hire for one of the leading AI ... engineer or researcher) Location : Must be currently based out of the US Benefits Benefits ...

This role is for one of the Weekday's clients JobType: full-time Job Title: AI Delivery Manager (10 ... Lead distributed/global teams across engineering, data science, and product * Establish delivery ...

This role is for one of the Weekday's clients We are collaborating with a leading AI research lab ... Work asynchronously with AI researchers and engineers to refine and improve model performance

Proficient with AI tools, simulation software, and relevant programming languages (e.g., Python, MATLAB). Preferred Qualifications * Experience deploying AI solutions within electrical engineering ...

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Weekday AI Jobs Information

What are the most popular categories at Weekday Ai?
Infographic showing various Full Stack Software Engineer job openings at Weekday Ai in the United States as of May 2026, with employment types broken down into 55% Full Time, 3% Part Time, and 42% Contract. Highlights an 39% Physical, 9% Hybrid, and 52% Remote job distribution.

Full Stack Engineer

Weekday AI

San Francisco, CA โ€ข On-site

$180K - $250K/yr

Full-time

Posted 2 days ago


Job description

This role is for one of the Weekday's clients

Salary range:ย $180k - $250k
Experience: 6+ย 
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.