Full-Stack Generative AI Developer

Diverse Lynx, LLC

  • Pleasanton, CA
  • 6 days ago

    Highlights

    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. Build responsive, accessible web interfaces for AI-powered applications using modern frameworks (React, Vue, Angular, MUI).

    Numbers & Facts

    LocationPleasanton, CA

    Description

    Full-Stack Generative AI Developer

    Pleasanton, CA

    Contract

    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-5, 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

    • Working knowledge of LLM evaluation and observability platforms

    Frontend Development (Basic Exposure)

    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 on python and similar framework 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

    DevOps & 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/TypeScript, Python(must))

    1+ years working with AI/ML technologies, particularly generative AI

    Experience with at least one major LLM framework (LangChain, Langgraph)

    Proficiency with vector databases (Pinecone, Mongo, FAISS, etc.)

    Strong understanding of REST APIs, GraphQL, and microservices architecture (Optional, Good to have)

    Experience with Git, Github actions, cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

    AI-Specific Knowledge

    Deep understanding of LLMs, including their capabilities and limitations

    Experience with prompt engineering and RAG architecture

    Knowledge of embedding models and vector similarity search

    Understanding of AI evaluation metrics and testing methodologies

    Preferred Qualifications

    Experience developing commercial AI applications or products

    Knowledge of AI safety practices and responsible AI deployment

    Background in NLP, computer vision, or other AI specialties

    Experience with streaming architectures for real-time AI applications

    Education

    Bachelor''s degree or higher in Computer Science, Software Engineering, AI/ML, or related field

    Relevant certifications in cloud platforms, AI frameworks, or software development

    Personal Attributes

    Strong problem-solving skills with a creative approach to AI challenges

    Excellent communication skills to explain complex AI concepts to stakeholders

    Ability to stay current with rapidly evolving AI technologies and best practices

    Self-motivated with the ability to work independently and in cross-functional teams

    Keen interest in the ethical implications of AI technology

    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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