Frontline AI Engineer I

Team: Digital Engineering : Digital Engineering

Location: Minneapolis, Minnesota

Commitment: Employee

Workplace Type: onsite

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Skills

• 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.

What We're Looking For

• 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.

Nice-to-Have Certifications

• Microsoft Azure AI Engineer Associate
• Microsoft Azure AI Fundamentals (AI-900)
• AWS Certified AI Practitioner
• OpenAI or LangChain certifications (if available)