Full-Stack Generative AI Developer

Full-Stack Generative AI Developer

Location:

PLEASANTON CA

6 Months Contract

Job 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 models
• Fine-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 behavior
• Develop retrieval-augmented generation (RAG) systems that combine vector databases with LLMs
• Frontend 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 usable
• Implement real-time features for AI interactions (streaming responses, progressive rendering)
• Develop visualization components for AI outputs and confidence metrics
• Backend Development:
• Create robust APIs and services to interface with AI models and external services
• Design scalable architectures that can handle high-throughput AI inference
• Implement efficient data processing pipelines for AI training and inference
• Integrate with vector databases, document stores, and other AI-specific infrastructure
• Dev Ops & MLOps:
• Set up CI/CD pipelines for AI application deployment
• Implement monitoring, logging, and alerting for AI systems
• Optimize infrastructure for cost-effective AI deployment

Required

Skills & Experience:

• Technical
  
  Skills:
• 3+ years of full-stack development experience (JavaScript/Type Script, Python must)
• 1+ years working with AI/ML technologies, particularly generative AI
• Experience with at least one major LLM framework (Lang Chain, Langgraph)
• Proficiency with vector databases (Pinecone, Mongo, FAISS, etc.)