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Artificial Intelligence Engineer Trainee Jobs (NOW HIRING)

Artificial Intelligence Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for developing ...

Artificial Intelligence Engineer

Cleveland, OH ยท On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be ...

Artificial Intelligence Engineer

Philadelphia, PA ยท On-site +1

$105K - $141K/yr

Overview We are looking for an Artificial Intelligence Engineer to join our Data & AI Team . You will work across the organization to create, deploy, tune, and improve the state-of-the art Big Data ...

... Artificial Intelligence & Expert Systems, SQL, Python Experience RequiredSenior Specialist Exp: 7+ experience in relevant field.6-8 years in Software or Data Engineering, with a strong emphasis on ...

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Artificial Intelligence Engineer Trainee information

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How much do artificial intelligence engineer trainee jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for artificial intelligence engineer trainee in the United States is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $26.20 per hour, depending on experience, location, and employer.

What does an Artificial Intelligence Engineer Trainee do?

An Artificial Intelligence Engineer Trainee learns and assists with designing, developing, and deploying AI models and systems under the supervision of experienced engineers. Their responsibilities often include data preprocessing, building and testing machine learning algorithms, and supporting the integration of AI solutions into existing products or services. Trainees may also work on tasks related to natural language processing, computer vision, or predictive analytics, and are expected to keep up-to-date with the latest AI research and technologies. This role is ideal for individuals who are starting their careers in AI and want hands-on experience while enhancing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer Trainee, and why are they important?

To thrive as an Artificial Intelligence Engineer Trainee, a solid background in computer science, mathematics, and programming languages like Python is essential, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and version control systems is typically expected. Strong analytical thinking, problem-solving ability, and willingness to learn new technologies help trainees stand out in this evolving field. These skills and qualities are crucial for effectively developing, testing, and deploying AI models in real-world applications.

What are some common challenges faced by Artificial Intelligence Engineer Trainees during their first projects?

As an Artificial Intelligence Engineer Trainee, you may encounter challenges such as understanding complex datasets, managing data preprocessing, and bridging the gap between theoretical knowledge and real-world applications. Collaborating with cross-functional teams, learning to select appropriate machine learning models, and debugging code are also common hurdles. However, these challenges offer valuable learning opportunities and are typically addressed with mentorship, hands-on practice, and access to collaborative team resources.
More about Artificial Intelligence Engineer Trainee jobs
What cities are hiring for Artificial Intelligence Engineer Trainee jobs? Cities with the most Artificial Intelligence Engineer Trainee job openings:
What are the most commonly searched types of Artificial Intelligence Engineer jobs? The most popular types of Artificial Intelligence Engineer jobs are:
What states have the most Artificial Intelligence Engineer Trainee jobs? States with the most job openings for Artificial Intelligence Engineer Trainee jobs include:
Infographic showing various Artificial Intelligence Engineer Trainee job openings in the United States as of May 2026, with employment types broken down into 8% Internship, 53% Full Time, 8% Part Time, and 31% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,727 per year, or $22.5 per hour.

Artificial Intelligence Engineer

Prophecy Technologies

West Des Moines, IA โ€ข On-site

Full-time

Posted 27 days ago


Job description

Role Name: Artificial Intelligence Engineer
Location: West Des Moines-Iowa
Job Summary
We are seeking an experienced Artificial Intelligence Engineer to design, develop, and scale modern AI solutions leveraging GenAI, LLMs, and Agentic AI. The ideal candidate will work across data, engineering, and business teams to deliver intelligent applications, RAG pipelines, AI agents, and document automation workflows using AWS-native AI services.
Experience Range (Required Skills)
  • 5+ years in software engineering or data science.
  • 1+ year hands-on experience with GenAI, LLMs, or Agentic AI.
  • Proficiency in Python, REST APIs, and JavaScript/TypeScript frameworks (React, Node.js).
  • Experience working with cloud-native infrastructure: Docker, CI/CD pipelines.
  • Hands-on experience with AWS AI/ML services, including:
  • Bedrock
  • SageMaker
  • Textract
  • Translate
  • Lambda & other serverless components

Key Responsibilities
  • Design, build, and scale RAG pipelines, vector search architectures, and LLM evaluation workflows.
  • Develop intelligent AI agents using LangChain, AutoGen, LlamaIndex, or LangGraph.
  • Ingest, process, and prepare structured/unstructured data-chunking, embeddings, parsing, retrieval.
  • Create intuitive front-end experiences powered by LLM and agent-based intelligence.
  • Integrate enterprise AI tools such as:
  • Claude
  • GPT-4/4o / ChatGPT Enterprise
  • Copilot
  • Glean
  • Shelf
  • Drive advanced document automation, including summarization, translation, and named-entity recognition (NER).
  • Implement observability, governance, and responsible AI practices in compliance with enterprise regulations.
  • Partner with cross-functional teams (IT, data, risk, compliance, business) to deliver user-facing AI solutions.

Required Skills & Experience
  • Hands-on experience developing AI solutions using GenAI/LLM frameworks.
  • Strong expertise in Python and API development (REST).
  • Experience with modern frontend concepts (React, Node.js).
  • Knowledge of embeddings, vector stores, retrieval workflows, and LLM orchestration.
  • Experience with AWS AI services and cloud-native development patterns.

Competencies
  • Strong problem-solving and analytical thinking.
  • Excellent communication and collaboration across technical & business stakeholders.
  • Ability to work in fast-paced, innovation-driven environments.
  • Self-starter with strong ownership of solution delivery.

Preferred Skills
  • Experience with LangChain, AutoGen, LlamaIndex, or LangGraph.
  • Prior exposure to enterprise AI platforms such as Glean or Shelf.
  • Understanding of responsible AI, security, governance, and observability frameworks.
  • Experience building UI/UX for AI-driven applications.