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Entry Level Ai Agent Developer Jobs in Iowa (NOW HIRING)

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly ... This role directly supports Auzmor's Phase 2 (2025) goals of launching AI agent training modules ...

DataAnnotation

Insurance Sales Agent

Nevada, IA · Remote

$50 - $60/hr

You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to ... Seniority level Entry level Employment type Full-time Job function Sales and Business Development ...

Pwc

CTIO-AI Engineer-Sr Associate

Des Moines, IA

$55K - $187K/yr

... agent-based systems Travel Requirements Up to 20% Job Posting End Date The salary range for this ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Transamerica

Cloud Security DevOps Engineer

Cedar Rapids, IA · On-site

$51.75 - $70.75/hr

We're empowered by a vast agent network covering North America, with diversity to match. Together ... We're creating the company's AI environment, building a flexible 'cloud experience' for internal ...

Aegon

Cloud Security DevOps Engineer

Cedar Rapids, IA

$51.75 - $70.75/hr

We're empowered by a vast agent network covering North America, with diversity to match. Together ... We're creating the company's AI environment, building a flexible 'cloud experience' for internal ...

Aegon

Sr Software Engineer

Cedar Rapids, IA · Hybrid

$94K - $115K/yr

We're empowered by a vast agent network covering North America, with diversity to match. Together ... Our engineering team uses specdriven development with Kiro as an AI coding assistant-so engineers ...

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Entry Level Ai Agent Developer information

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 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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers, machine learning directors, or AI research leads, often found in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and sometimes advanced degrees. Entry-level AI roles generally do not reach this salary level, which is reserved for top-tier professionals with extensive expertise and leadership responsibilities.

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.

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Entry Level Ai Agent Developer jobs near you

AI Engineer (Databricks)

Staxa Technologies

Iowa City, IA

Other

Posted 23 days ago

Job description

This role is aligned to the AI & Automation Enablement workstream, including autonomous AI agents, data quality AI, decision intelligence, advanced analytics, ML/AI, Databricks SQL, Unity Catalog, Databricks Lakehouse, AI/BI Genie, and Agent Bricks capabilities.

Required Skillsets: AI Engineer (Databricks)

  • Databricks Lakehouse architecture and implementation
  • Databricks SQL, notebooks, workflows, and job orchestration
  • AI/BI Genie implementation and business-facing conversational analytics
  • Agent Bricks and autonomous AI agent development within Databricks
  • MLflow for model tracking, deployment, and lifecycle management
  • AI/ML model development, validation, and operationalization
  • GenAI and AI agent development using Databricks capabilities
  • Data quality automation, anomaly detection, and intelligent validation
  • Unity Catalog, data governance, lineage, and access control
  • Integration with Azure, APIs, and enterprise data sources
  • Experience building AI-driven recommendations, smart notifications, and decision intelligence workflows
  • Strong Python, PySpark, SQL, and data engineering fundamentals

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