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# AI Engineer

- **Company:** Rapid Eagle Inc.
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Microsoft Visual Studio, Node.Js, Next.js, Software Engineering, GitHub Copilot, Large Language Models, Snowflake, Backend, Front End Software Development, Domo, NestJS, Terraform, Data Pipelines
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d405b0cfa63ccb4d

## About the Role

Do you have experience in Software engineering?, * 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).

## Description

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.


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