Full Stack Developer

Full-Stack Generative AI DeveloperLocation: PLEASANTON CA6 Months ContractJob Description Overview: Seeking talented Full-Stack Generative AI Developer who will design, implement, and maintain cutting-edge AI-powered applications and services. In this role, developer will bridge the gap between advanced generative AI models and user-facing applications, creating intuitive interfaces for complex AI capabilities while ensuring robust, scalable, and efficient backend systems.Key Responsibilities:AI Development:Design and implement generative AI features leveraging models like GPT-4, Llama, or other foundational modelsFine-tune and optimize AI models for specific use cases and domains (optional, good to have)Create prompt engineering frameworks and templates to ensure consistent AI behaviorDevelop retrieval-augmented generation (RAG) systems that combine vector databases with LLMsFrontend Development:Build responsive, accessible web interfaces for AI-powered applications using modern frameworks (React, Vue, Angular, MUI)Design intuitive UIs that make complex AI capabilities understandable and usableImplement real-time features for AI interactions (streaming responses, progressive rendering)Develop visualization components for AI outputs and confidence metricsBackend Development:Create robust APIs and services to interface with AI models and external servicesDesign scalable architectures that can handle high-throughput AI inferenceImplement efficient data processing pipelines for AI training and inferenceIntegrate with vector databases, document stores, and other AI-specific infrastructureDevOps & MLOps:Set up CI/CD pipelines for AI application deploymentImplement monitoring, logging, and alerting for AI systemsOptimize infrastructure for cost-effective AI deploymentRequired Skills & Experience:Technical Skills:3+ years of full-stack development experience (JavaScript/TypeScript, Python must)1+ years working with AI/ML technologies, particularly generative AIExperience with at least one major LLM framework (LangChain, Langgraph)Proficiency with vector databases (Pinecone, Mongo, FAISS, etc.)