AI Full Stack Developer & Architect

AI Full Stack Developer & ArchitectLocation: San Jose, CADuration: 1 Year ContractJD DetailsWe need Local Candidate for San Jose, CA who can come for Onsite Interview and this is 5 Days onsite role.We currently have 2 openings — Strictly on W2:Developer – $72/hr on W2Architect – $90/hr on W2Job SummaryWe are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.Key ResponsibilitiesAI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.Required Qualifications & SkillsExperience:Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr. Level) as a Full Stack Developer with specialized experience in AI model deployment.Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js, Next.js, Plotly Dash + FastAPI).AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).Preferred QualificationsExperience with generative AI and agentic architectures.Understanding of data privacy and security in AI applications.Computer Science, Artificial Intelligence, Machine Learning, or a related field.