Senior Software Engineer with
10+ years of experience in full stack application development, specializing in building
AI/ML-powered systems and leveraging
AI-native development workflows. Proven ability to design scalable applications, integrate LLM capabilities, and enhance engineering productivity using tools like
Claude Code and Snowflake Cortex.
CORE RESPONSIBILITIES: - Design and develop end-to-end full stack applications (frontend, backend, APIs)
- Build and integrate AI/ML and LLM-powered features into production systems
- Develop scalable backend services and distributed systems architectures
- Leverage Snowflake Cortex and Snowpark for data-driven AI applications
- Collaborate with cross-functional teams to deliver customer-facing intelligent solutions
- Optimize applications for performance, scalability, and reliability
AI-NATIVE ENGINEERING EXPERTISE:- Strong hands-on experience with AI Model for Code Generation (e.g., Anthropic's Claude, OpenAI's GPT-Codex) or similar for:
- Code generation, refactoring, and debugging
- Designing structured prompts and reusable workflows
- Ability to create and manage skills and profiles in AI Models to streamline development tasks
- Experience with AI-assisted development (Claude co-work model) to improve productivity and code quality
- Familiarity with prompt engineering, reasoning workflows, and human-in-the-loop systems
TECHNICAL SKILLS:- Languages: Python, Java, JavaScript/TypeScript
- Frontend: React, Angular (or similar frameworks)
- Backend: REST APIs, microservices, distributed systems
- AI/ML: LLM integration, NLP, model inference
- Cloud & Data: Snowflake (Cortex, Snowpark), AWS/Azure/GCP
- Tools: Docker, Kubernetes, CI/CD pipelines
NICE TO HAVE: - Experience with RAG architectures, embeddings, and vector databases
- Knowledge of MLOps and model deployment pipelines
- Familiarity with large-scale data platforms and ETL workflows
- Working knowledge of snowflake and snowflake technologies
- Experience with building production AI assistants at the enterprise level
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
