Full-Stack Generative AI Developer

Develop Retrieval-Augmented Generation (RAG) systems combining vector databases with LLMs. Deep understanding of Large Language Models (LLMs) , including their capabilities and limitations.

Job Title: Full-Stack Generative AI Developer
Location: PLEASANTON, CA
Duration: 6 months
Experience Required: 10+ years
Primary Skill: Generative AI

Overview

• Design, implement, and maintain cutting-edge AI-powered applications and services.
• Bridge advanced generative AI models with user-facing applications.
• Build intuitive interfaces for complex AI capabilities.
• Develop robust, scalable, and efficient backend systems.

AI Development

• Design and implement generative AI features using foundational models such as:
  • GPT-5
  • Llama
  • Other Large Language Models (LLMs)
• 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 combining vector databases with LLMs.
• Demonstrate working knowledge of LLM evaluation and observability platforms.
• Apply AI technologies to build scalable, production-ready solutions.

Frontend Development — Basic Exposure

• Build responsive and accessible web interfaces for AI-powered applications.
• Experience with modern frontend frameworks such as:
  • React
  • Vue
  • Angular
  • MUI
• Design intuitive user interfaces that make complex AI capabilities easy to understand and use.
• Implement real-time AI interaction features, including:
  • Streaming responses
  • Progressive rendering
• Develop visualization components for:
  • AI outputs
  • Confidence metrics
  • AI-generated insights

Backend Development

• Create robust APIs and services using Python and similar frameworks.
• Develop APIs to interface with:
  • AI models
  • External services
  • Enterprise applications
• Design scalable architectures capable of supporting high-throughput AI inference.
• Implement efficient data processing pipelines for:
  • AI training
  • AI inference
• Integrate with:
  • Vector databases
  • Document stores
  • AI-specific infrastructure

DevOps & MLOps

• Set up and maintain CI/CD pipelines for AI application deployment.
• Implement monitoring, logging, and alerting for AI systems.
• Optimize infrastructure for cost-effective AI deployment.
• Support containerized AI applications using:
  • Docker
  • Kubernetes
• Implement cloud-based deployment solutions using:
  • AWS
  • Azure
  • GCP

Required Technical Skills

• 3+ years of full-stack development experience.
• Strong programming experience with:
  • JavaScript
  • TypeScript
  • Python — Must Have
• 1+ years of experience working with AI/ML technologies, particularly Generative AI.
• Experience with at least one major LLM framework:
  • LangChain
  • LangGraph
• Proficiency with vector databases such as:
  • Pinecone
  • MongoDB
  • FAISS
• Strong understanding of:
  • REST APIs
  • GraphQL — optional/good to have
  • Microservices architecture — optional/good to have
• Experience with:
  • Git
  • GitHub Actions
  • Cloud platforms
  • Docker
  • Kubernetes

AI-Specific Knowledge

• Deep understanding of Large Language Models (LLMs), including their capabilities and limitations.
• Strong experience with:
  • Prompt engineering
  • RAG architecture
  • Vector databases
  • Embedding models
  • Vector similarity search
• Understanding of AI evaluation metrics and testing methodologies.
• Knowledge of LLM evaluation and observability practices.

Preferred Qualifications

• Experience developing commercial AI applications or products.
• Knowledge of AI safety and responsible AI deployment practices.
• Background in:
  • NLP
  • Computer Vision
  • Other AI specialties
• Experience with streaming architectures for real-time AI applications.
• Experience deploying Generative AI solutions in production environments.

Education & Certifications

• Bachelor’s degree or higher in:
  • Computer Science
  • Software Engineering
  • Artificial Intelligence/Machine Learning
  • Related technical field
• Relevant certifications in:
  • Cloud platforms
  • AI frameworks
  • Software development

Personal Attributes

• Strong problem-solving skills with a creative approach to AI challenges.
• Excellent communication skills and ability to explain complex AI concepts to stakeholders.
• Ability to stay current with rapidly evolving AI technologies and best practices.
• Self-motivated and capable of working independently.
• Strong ability to collaborate within cross-functional teams.
• Keen interest in the ethical implications of AI technology.

Desirable Skills

• Azure Data Factory
• Databricks
• Azure Synapse Analytics
• Python
• SQL
• PySpark
• Databricks

Keywords

• Azure Data Factory
• Databricks
• Azure Synapse Analytics
• Python
• SQL
• PySpark
• Databricks
• Generative AI
• LLM
• RAG
• LangChain
• LangGraph
• Vector Databases
• Prompt Engineering

Essential Skill

• Full-Stack Generative AI Development
• Design, implement, and maintain AI-powered applications and services.
• Build scalable backend systems and intuitive user interfaces for Generative AI applications.
• Integrate foundational models, RAG architectures, vector databases, and AI-specific infrastructure.