AI Engineer

it360; Peoria (IL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance allowance up to $400/month

Employer-paid group life insurance policy

3% employer match on retirement savings plan

8 paid holidays annually

Paid vacation: 5 days/year to start

Job summary

IT360, Inc. is looking for an AI Engineer in Peoria, IL, to design and lead the deployment of AI-driven solutions. This strategic, client-facing role requires strong programming skills and experience with machine learning technologies.

Ideal candidates will have a degree in Computer Science or related fields, experience with AI/ML models, and the ability to work collaboratively with clients. Benefits include health insurance, retirement matching, and paid holidays.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong programming skills in Python (preferred), Java, or C++.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Responsibilities

• Design and develop scalable AI/ML models to solve real-world problems across various domains.
• Collaborate with clients to identify AI opportunities and define solution requirements.
• Build and maintain end-to-end machine learning pipelines.

Skills

Python

Machine learning frameworks (TensorFlow, PyTorch)

Data manipulation (Pandas, NumPy)

Cloud platforms (AWS, Azure)

NLP

Computer vision

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

PowerShell

REST APIs

OpenAI

Job description

Job Title: AI Engineer

Location: Peoria, IL

Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or hybrid position.

Job Type: Full-Time

About the Role

IT360, Inc. is seeking a highly skilled and innovative AI Engineer to join our growing team. This strategic, client-facing role is responsible for designing, developing, and leading the deployment of AI-driven solutions and automations that address complex business challenges for both internal operations and external clients. You’ll work with a variety of machine learning, automations, and scripting technologies to deliver intelligent, secure, and scalable solutions tailored to client needs.

Key Responsibilities

• Design and develop scalable AI/ML models to solve real-world problems across various domains.
• Collaborate with clients to identify AI opportunities and define solution requirements.
• Build and maintain end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Integrate AI solutions into existing systems and platforms, ensuring performance, reliability, and scalability.
• Monitor and improve the performance of deployed models through continuous evaluation and retraining.
• Stay current with the latest advancements in AI/ML research and tools, and apply them to enhance solution effectiveness.
• Document processes, models, and systems to ensure transparency and reproducibility.
• Design and implement automations to streamline internal workflows and enhance client-facing services.
  

Additional Duties

• Collaborate with cross-functional teams to ensure seamless solution delivery.
• Provide high-quality customer service and maintain strong client relationships.
• Understand client business needs and align technology solutions accordingly.
• Accurately track time, tasks, and expenses in the ticketing system.
• Participate in customer interviews, feedback loops, and solution ideation.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field — or equivalent experience (e.g., GitHub projects, personal portfolio).
• Strong programming skills in Python (preferred), Java, or C++.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL.
• Experience with cloud platforms (AWS, Azure, Google Cloud, OpenAI) and MLOps tools.
• Solid understanding of algorithms, data structures, and software engineering principles.
• Ability to work independently and collaboratively, with a strong sense of ownership and self-management.
• Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs).
• Knowledge of data privacy, model interpretability, and ethical AI practices.
  
• Contributions to open-source AI projects or published research are a plus.

Skills & Technologies

• Scripting & Automation: PowerShell, Python (Jinja), Power Automate, REWST, Zapier
• APIs: REST (required), SOAP (optional), OpenAPI spec, Postman
• AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics), reinforcement learning
• LLM Platforms: OpenAI, Claude, Gemini
• Microsoft 365 Stack: CoPilot, Power Automate, Function Apps, Email integrations
• Cloud & Serverless: Azure Function Apps

Benefits (subject to eligibility and length of employment)

• Health insurance allowance up to $400/month
• Employer-paid group life insurance policy valued at $100,000
• 3% employer match on retirement savings plan
• Aflac individual accident insurance
• High-speed internet reimbursement up to $40/month
• $40/month cellular phone allowance
• 8 paid holidays annually
• Paid vacation: 5 days/year to start, increasing to 10 days/year after 3 years of service
• Access to Safe Ride Home Program (Uber ridesharing)