{"schemaVersion":"jobsearcher.job.v1","id":"0488b7a4a853809e46a1728b","url":"https://jobsearcher.com/jobs/0488b7a4a853809e46a1728b","canonicalUrl":"https://jobsearcher.com/jobs/0488b7a4a853809e46a1728b","title":"Full Stack Engineer","description":"This role is for one of the Weekday's clientsSalary range:$180k - $250k\r\nExperience:6+ YoEWe are seeking an experiencedFull Stack Engineerwith a strong background inAI-driven application development ,Python ,TypeScript , andETL 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 ResponsibilitiesEnd-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 usingPython(FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models.Frontend Development:Create engaging and responsive user interfaces withTypeScript(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 optimizeETL processesto 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 & QualificationsExperience:6–10 years in full stack development, with at least 2–3 years in AI-driven application projects.Programming Expertise:Strong proficiency inPythonfor backend/API development andTypeScriptfor 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 maintainingETL pipelinesand 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 QualificationsPrior 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.#J-18808-Ljbffr","company":"Weekday 1","rawCompany":"weekday 1","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-04T01:40:52.055Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Engineer","description":"This role is for one of the Weekday's clientsSalary range:$180k - $250k\r\nExperience:6+ YoEWe are seeking an experiencedFull Stack Engineerwith a strong background inAI-driven application development ,Python ,TypeScript , andETL 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 ResponsibilitiesEnd-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 usingPython(FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models.Frontend Development:Create engaging and responsive user interfaces withTypeScript(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 optimizeETL processesto 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 & QualificationsExperience:6–10 years in full stack development, with at least 2–3 years in AI-driven application projects.Programming Expertise:Strong proficiency inPythonfor backend/API development andTypeScriptfor 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 maintainingETL pipelinesand 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 QualificationsPrior 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.#J-18808-Ljbffr","datePosted":"2026-10-04T01:40:52.055Z","dateModified":"2026-10-04T01:40:52.055Z","hiringOrganization":{"@type":"Organization","name":"Weekday 1","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0488b7a4a853809e46a1728b"},"url":"https://jobsearcher.com/jobs/0488b7a4a853809e46a1728b"}}