Benefits: - 401(k) matching
- Dental insurance
- Health insurance
AI Engineer
Onsite
Minneapolis MN
Skills:-
Context• Role spans AI engineering
• Tech decisions influenced by broader product stack:
o Frontend/backend for RAG and app work: Next.js and NestJS (Node)
o Light work with data pipelines: Python; Snowflake as the data platform (medallion architecture: bronze/silver/gold)
• Tools and AI coding assistants:
o Claude Code
o GitHub Copilot via Visual Studio
o Evaluating vendor AI tools (e.g., Snowflake AI, Domo AI); use-case dependent.
o MCP servers: discussed; on roadmap; not currently required for internal LLM routing/abstraction.
Must Have Requirements• Strong Python experience (production-grade software engineering).
• Hands-on experience working with LLMs in production (general LLM best practices; not strictly RAG). Examples:
o Efficient interaction patterns with LLMs (token management, sending full articles vs. selective context)
o Agentic approaches for complex reasoning (e.g., applying AP style guide across thousands of rules)
o Practical strategies to avoid context overload and maintain relevance.
• Ability to "run with projects," operate independently, and collaborate with stakeholders.
• Minimum experience: approximately 5 years; must have "done it before."
Should Have• Familiarity with Next.js/NestJS/Node for application/RAG-related work; strong Python candidates can ramp with AI coding tools.
• CI/CD experience; Terraform not required (team strength exists, can learn on the job).
• Good culture fit: collaborative, mission-driven, able to navigate flexible stack choices aligned with product teams.
Could Have:• Exposure to data engineering concepts and tooling:
o Building ingestion/ETL/ELT pipelines (Python)
o Working with Snowflake; experience in similar platforms (Redshift, Synapse) acceptable with ability to translate principles.
o Familiarity with medallion architecture and data modeling concepts is helpful but not strictly required (team can support ramp-up).
Additional Notes• RAG work currently lives in Next/Nest (Node); none in Python at present.
• Preference for principles over specific vendor experience; candidates with adjacent platform knowledge can adapt.
Compensation: $60.00 - $70.00 per hour