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AI Engineer
Job in
Minneapolis, Hennepin County, Minnesota, 55422, USA
Listed on 2026-06-03
Listing for:
3B Staffing
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Your role will involve prompt engineering and evaluation, deploying agents using cloud platforms, and collaborating with cross-functional teams to translate business needs into effective AI solutions. Staying abreast of the latest advancements in AI and machine learning will be crucial for innovation in this role.
Responsibilities
- Design and develop scalable AI agents and multi-agent systems using Python or C# and agentic frameworks.
- Integrate AI agents with internal enterprise systems, databases, APIs, and knowledge bases.
- Design effective prompts, system messages, and guardrails to manage agent behavior.
- Develop evaluation frameworks and metrics to monitor agent performance and accuracy.
- Deploy agents to production environments using cloud platforms and MLOps practices.
- Collaborate with cross-functional teams to translate business workflows into AI solutions.
- Stay current with advancements in AI agents and machine learning to recommend new tools and methodologies.
- Expert-level proficiency in Python or C# with experience in related libraries and frameworks.
- Deep understanding of Large Language Models, natural language processing, and Retrieval-Augmented Generation techniques.
- Strong software engineering fundamentals, including experience with APIs, microservices, and version control.
- Hands-on experience with major cloud computing platforms for deploying and scaling AI solutions.
- Excellent analytical and problem-solving skills to debug and optimize complex AI systems.
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field, or equivalent practical experience.
- Experience building agents or conversational AI applications using specific tools like Microsoft Copilot Studio.
- Familiarity with multi-agent orchestration patterns and frameworks.
- Knowledge of data governance, privacy practices, and Responsible AI principles.
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