Frontline AI Engineer I

United States·MinneapolisEmployeemid

Machine Learning EngineerData

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Overview

We are looking for a passionate and hands-on AI Builder to join our AI Engineering team. This role is ideal for someone with 1–2 years of experience who enjoys building AI-powered applications,

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Machine Learning EngineerData

We are looking for a passionate and hands-on AI Builder to join our AI Engineering team. This role is ideal for someone with 1–2 years of experience who enjoys building AI-powered applications, experimenting with the latest Large Language Models (LLMs), and developing intelligent agents and automation solutions. You will work closely with AI architects, software engineers, and business teams to rapidly prototype and deploy generative AI solutions for enterprise clients.

Design, build, and deploy AI-powered applications using Large Language
Models (LLMs) and modern AI frameworks.
Develop AI agents, copilots, and workflow automations using platforms such as OpenAI, Azure AI, and LangChain.
Build Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
Develop REST APIs and integrate AI services with enterprise applications and cloud platforms.
Create reusable prompts, workflows, and AI components to accelerate solution delivery.
Collaborate with product owners, architects, and developers to translate business requirements into AI solutions.
Evaluate new AI models, tools, and frameworks, and rapidly prototype innovative use cases.
Participate in testing, model evaluation, prompt optimization, and performance tuning.
Document solutions and contribute to reusable assets and best practices.

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.

1–2 years of software development or AI engineering experience.

Proficiency in Python and familiarity with JavaScript or TypeScript.

Experience using LLM APIs such as OpenAI or Azure OpenAI.

Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG).

Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI frameworks.

Understanding of REST APIs, Git, and software development best practices.

Exposure to cloud platforms such as Azure, AWS, or Google Cloud.

Experience with AI agent frameworks and multi-agent orchestration.

Familiarity with vector databases such as Pinecone, Azure AI Search, Weaviate, or Chroma.

Knowledge of FastAPI, Docker, and CI/CD pipelines.

Exposure to machine learning fundamentals and model evaluation.

Understanding of enterprise data integration and API development.

Strong curiosity and passion for Generative AI.

Excellent problem-solving and analytical skills.

Ability to learn new technologies quickly and build rapid prototypes.

Strong communication and collaboration skills.

A builder mindset with a willingness to experiment and innovate.

Microsoft Azure AI Engineer Associate

Microsoft Azure AI Fundamentals (AI-900)

AWS Certified AI Practitioner

OpenAI or LangChain certifications (if available)

This role is ideal for someone eager to grow into an AI Engineer or AI Solutions
Architect while working on cutting-edge enterprise AI and Agentic AI solutions.