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Entry Level Ai Agent Developer Jobs in Minnesota

Advance AI agent capabilities through research and performance evaluation, focusing on improved ... Work closely with senior engineers and researchers, learning best practices and contributing to ...

The role involves designing multi-agent workflows, integrating LLMs, and developing full-stack AI solutions using Python, Java Spring Boot, and React JS. Required Skills * Strong programming ...

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Work with the Agent Lead and AI Engineering to: * Build and test prompts used inside agent workflows * Structure inputs and outputs for multi-step processes * Help improve how agents: * Interpret ...

Context Engineer

Minneapolis, MN · On-site

$80K - $140K/yr

Work with the Agent Lead and AI Engineering to: * Build and test prompts used inside agent workflows * Structure inputs and outputs for multi-step processes * Help improve how agents: * Interpret ...

... agent workflows and intelligent automation systems Develop backend services using Java Spring Boot ... AI-powered solutions Required Skills Strong programming skills in Python and Java (Spring Boot ...

Familiarity with agent frameworks, agentic workflows, and knowledge graph, preferred * Strong ... ABOUT MORTENSON As a top builder, developer, and EPC (Engineering, Procurement, and Construction ...

Familiarity with agent frameworks, agentic workflows, and knowledge graph, preferred * Strong ... ABOUT MORTENSON As a top builder, developer, and EPC (Engineering, Procurement, and Construction ...

This is an entry-level role designed for someone who is passionate about learning the Salesforce ... If any new AI agent needs to know a customer's "Preferred Contact Time," you ensure that field ...

... Agent Lead and AI Engineering to: • Build and test prompts used inside agent workflows • Structure inputs and outputs for multi-step processes • Help improve how agents: • Interpret ...

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Entry Level Ai Agent Developer information

What are Entry Level AI Agent Developers?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

What are the key skills and qualifications needed to thrive as an Entry Level AI Agent Developer, and why are they important?

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What are some typical projects or tasks an Entry Level AI Agent Developer can expect to work on during their first year?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

What are the most commonly searched types of Ai Agent Developer jobs in Minnesota? The most popular types of Ai Agent Developer jobs in Minnesota are:
What are popular job titles related to Entry Level Ai Agent Developer jobs in Minnesota? For Entry Level Ai Agent Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Agent Developer jobs in Minnesota look for? The top searched job categories for Entry Level Ai Agent Developer jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Ai Agent Developer jobs? Cities in Minnesota with the most Entry Level Ai Agent Developer job openings:
Infographic showing various Entry Level Ai Agent Developer job openings in Minnesota as of June 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

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Job description

Job Title

Proficient in Python and other relevant programming languages.

3 years of hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).

2 years of hands-on experience in developing and deploying AI agents and machine learning models.

Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry).

Build and experiment with GenAI models and agentic workflows.

Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks.

Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience.

Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.

Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.

Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.

Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment.

Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.