AI Engineer

**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) ac