Senior Fullstack AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Fullstack AI Engineer on a contract basis, hybrid location, with a duration of over 6 months. Pay rate is unspecified. Requires 5+ years in fullstack development, expertise in JavaScript, Node.js, Python, and cloud services.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 27, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Deployment #DevOps #GCP (Google Cloud Platform) #React #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #SAML (Security Assertion Markup Language) #Debugging #AWS Lambda #Microservices #TypeScript #Libraries #Cloud #Lambda (AWS Lambda) #Scala #SQL (Structured Query Language) #Storage #Python #Azure #Databases #Data Storage #Web Development #Security #JavaScript #GraphQL #Compliance #ML (Machine Learning) #API (Application Programming Interface) #NoSQL #Data Encryption #FastAPI #Logging #Monitoring #Observability
Role description
Job Title: Senior Fullstack AI Engineer Job Type: Full-time (Contractor) Location: Hybrid About Us Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Overview As a Senior Fullstack AI Engineer, you will lead the development of responsive, secure, and scalable AI-driven web applications. You will work across the entire stack, from frontend UI components to backend APIs, ensuring seamless data flow, security, and performance. The role requires hands-on experience in integrating cloud services, vendor APIs, and privacy-first architectures, along with a strong grasp of end-to-end software development lifecycle (SDLC). Key Responsibilities β€’ Develop and maintain fullstack AI-driven applications with a focus on scalability, security, and privacy. β€’ Design, build, and optimize React-based frontend components to deliver highly interactive, responsive, and intuitive user experiences. β€’ Develop RESTful APIs and backend services using Node.js and Python, ensuring efficient communication with AI models and databases. β€’ Integrate complex cloud services and vendor APIs, including authentication, data storage, analytics, and messaging services. β€’ Ensure compliance with security and privacy standards, implementing best practices for authentication, data encryption, and access control. β€’ Optimize web applications for performance, ensuring fast load times, smooth interactivity, and minimal resource consumption. β€’ Implement cloud-based identity services, including OAuth, JWT, OpenID Connect, and SAML. β€’ Work closely with AI/ML engineers, designers, and product managers to build seamless AI-powered experiences. β€’ Develop and maintain CI/CD pipelines to streamline deployment and improve system reliability. β€’ Stay updated on the latest web development trends, AI technologies, and security practices, ensuring the platform remains innovative and future-proof. Required Skills & Experience β€’ 5+ years of experience in fullstack development, specializing in JavaScript (React), Node.js, and Python. β€’ Deep understanding of RESTful APIs, API design patterns, and microservices architecture. β€’ Proficiency in building highly interactive, responsive, and accessible UIs using React, Redux, TypeScript, and modern frontend libraries. β€’ Strong backend development skills, including Node.js, Python, Express.js/FastAPI, and SQL/NoSQL databases. β€’ Experience with cloud platforms (AWS, GCP, or Azure) and cloud-based identity services (OAuth, JWT, SAML). β€’ Strong understanding of privacy-centric architectures and security best practices for handling sensitive user data. β€’ Familiarity with logging, monitoring, and observability frameworks for debugging and performance optimization. β€’ Experience with CI/CD pipelines and modern DevOps workflows for fullstack applications. β€’ Ability to think critically and independently in whitespace, making architectural and design decisions with minimal guidance. Nice-to-Have β€’ Experience with GraphQL APIs and real-time communication (WebSockets, gRPC). β€’ Familiarity with serverless architectures (AWS Lambda, Firebase Functions, Azure Functions). β€’ Prior experience in AI/ML-powered applications and AI-driven UX design. β€’ Contributions to open-source projects or technical publications in fullstack engineering.