Senior Software Developer - Full Stack

Snowflake Snowflake · Data AI · CA-Dublin, United States · Enterprise Technology

Senior Full Stack Software Engineer to build AI/ML-powered systems and integrate LLM capabilities into production systems, leveraging AI-native development workflows and tools like Claude Code and Snowflake Cortex. The role involves designing end-to-end applications, optimizing for performance, and collaborating to deliver customer-facing intelligent solutions.

What you'd actually do

  1. Design and develop end-to-end full stack applications (frontend, backend, APIs)
  2. Build and integrate AI/ML and LLM-powered features into production systems
  3. Develop scalable backend services and distributed systems architectures
  4. Leverage Snowflake Cortex and Snowpark for data-driven AI applications
  5. Collaborate with cross-functional teams to deliver customer-facing intelligent solutions

Skills

Required

  • Python
  • Java
  • JavaScript/TypeScript
  • React
  • Angular
  • REST APIs
  • microservices
  • distributed systems
  • LLM integration
  • NLP
  • model inference
  • Snowflake
  • Cortex
  • Snowpark
  • AWS/Azure/GCP
  • Docker
  • Kubernetes
  • CI/CD pipelines
  • AI Model for Code Generation
  • structured prompts
  • reusable workflows
  • skills and profiles in AI Models
  • AI-assisted development
  • prompt engineering
  • reasoning workflows
  • human-in-the-loop systems

Nice to have

  • RAG architectures
  • embeddings
  • vector databases
  • MLOps
  • model deployment pipelines
  • large-scale data platforms
  • ETL workflows
  • building production AI assistants at the enterprise level

What the JD emphasized

  • 10+ years of experience
  • AI/ML-powered systems
  • AI-native development workflows
  • Claude Code
  • Snowflake Cortex
  • end-to-end full stack applications
  • AI/ML and LLM-powered features
  • distributed systems architectures
  • Snowflake Cortex and Snowpark
  • customer-facing intelligent solutions
  • AI Model for Code Generation
  • structured prompts and reusable workflows
  • skills and profiles in AI Models
  • AI-assisted development
  • prompt engineering, reasoning workflows, and human-in-the-loop systems
  • LLM integration, NLP, model inference
  • Snowflake (Cortex, Snowpark)
  • RAG architectures, embeddings, and vector databases
  • MLOps and model deployment pipelines
  • large-scale data platforms and ETL workflows
  • building production AI assistants at the enterprise level

Other signals

  • AI-native thinkers
  • AI as a high-trust collaborator
  • AI-native development workflows
  • integrate LLM capabilities
  • customer-facing intelligent solutions
  • AI Model for Code Generation
  • AI-assisted development
  • prompt engineering, reasoning workflows, and human-in-the-loop systems
  • LLM integration, NLP, model inference
  • Snowflake Cortex and Snowpark for data-driven AI applications