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Weekday Ai

60 Weekday Ai Jobs Hiring Near You

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

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 ...

Weekday AI

Capital allocation AI Expert

$100 - $120/hr

Leverage AI and predictive analytics to enhance forecasting accuracy and scenario planning. Translate complex analyses into clear, actionable recommendations for stakeholders. * Build vs. Buy ...

Weekday AI

Internal Medicine AI Evaluation Specialist

$130 - $180/hr

This role is for one of our clients Compensation: $130-$180 per hour Join a leading AI research initiative focused on advancing healthcare-focused artificial intelligence. We are seeking experienced ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

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 ...

Weekday AI

Financial reporting AI Expert

$100 - $120/hr

This role blends strong accounting fundamentals with emerging AI capabilities to enhance the efficiency, accuracy, and scalability of financial reporting processes. The ideal candidate will play a ...

Weekday AI

Clinical AI Specialist

$130 - $300/hr

As a Clinical AI Specialist, you will contribute your medical expertise to design realistic clinical scenarios, evaluate AI-generated outputs, and help improve how advanced models reason about ...

Weekday AI

Marketing Specialist

$60 - $80/hr

This role is for one of our clients Compensation: $60-$80 per hour Join a leading AI lab at the ... Ability to commit reliably to at least 35 hours per week during standard weekdays. * Excellent ...

Weekday AI

Physics AI Specialist

$80/hr

In this role, you will apply deep domain expertise to design complex, high-quality problems that enhance AI reasoning across specialized areas of physics. This opportunity is ideal for individuals ...

Weekday AI

Internal Medicine AI Evaluation Specialist

$130 - $180/hr

This role is for one of our clients Compensation: $130-$180 per hour Join a leading AI research initiative focused on advancing healthcare-focused artificial intelligence. We are seeking experienced ...

Weekday AI

Insurance Claims Management AI Expert

$100 - $120/hr

You will play a critical role in transforming traditional claims processes using AI and advanced analytics. Your primary responsibilities will include designing, implementing, and optimizing ...

Weekday AI

ASIC/SoC Design & Verification Engineer

$70 - $100/hr

... weekday availability. * Strong written communication skills and the ability to work independently in a remote environment. Preferred Qualifications * Experience participating in AI model training ...

Weekday AI

Strategic finance AI Expert

$100 - $120/hr

US, UK, Canada, France, Portugal (remote) We are seeking a Strategic Finance AI Expert to bridge advanced analytics with high-impact financial decision-making. This role sits at the intersection of ...

Weekday AI

Risk & Actuarial AI Expert

$100 - $120/hr

US, UK, Canada, France, Portugal (remote) We are seeking a highly analytical and forward-thinking Risk & Actuarial AI Expert to join our growing team. This role sits at the intersection of actuarial ...

Weekday AI

Biology Expert (PhD) - AI Safety

$65 - $70/hr

This role is for one of our clients Compensation: $65-$70 per hour Join an advanced AI safety initiative focused on improving how next-generation AI systems understand and reason about complex ...

Weekday AI

Product Marketing Expert

Needham, MA · On-site

$167K/yr

This role is for one of the Weekday's clients Salary range: Rs 14000000 - Rs 17000000 (ie INR 140 ... This role sits at the intersection of product marketing, growth, content, AI, and revenue ...

Weekday AI

Product Marketing Expert

Needham, MA · On-site

$167K/yr

This role is for one of the Weekday's clients Salary range: Rs 14000000 - Rs 17000000 (ie INR 140 ... This role sits at the intersection of product marketing, growth, content, AI, and revenue ...

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Infographic showing various job openings at Weekday Ai in the United States as of July 2026, with employment types broken down into 33% Full Time, 48% Part Time, and 19% Contract. Highlights an 30% Physical, and 70% Remote job distribution.

Full Stack Engineer

Weekday AI

San Francisco, CA • On-site

$180K - $250K/yr

Full-time

Re-posted 3 days ago

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.

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