AI Engineer at RAPID EAGLE INC

Richfield, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

70.0

Posted On

17 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLMs, Next.js, NestJS, Node.js, Snowflake, RAG, CI/CD, Data Pipelines, Agentic Reasoning, Token Management, Software Engineering

Industry

IT Services and IT Consulting

Description

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.

Responsibilities

The AI Engineer will develop production-grade AI applications and RAG systems using a stack including Python, Next.js, and NestJS. They will also manage data pipelines within Snowflake and evaluate various vendor AI tools to optimize product functionality.