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AI Engineer
AI EngineerIt360 Inc • Peoria, Illinois, United States
AI Engineer

AI Engineer

It360 Inc • Peoria, Illinois, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.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 deploy ment 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 , au tomations , 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)
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