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Ai Algorithm Engineer Jobs in Peoria, IL (NOW HIRING)

IT360 Inc

AI Engineer

Peoria, IL · On-site

Solid understanding of algorithms, data structures, and software engineering principles. * Ability ... AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics ...

IT360, Inc.

AI Engineer

Peoria, IL · On-site

$75K - $110K/yr

Solid understanding of algorithms, data structures, and software engineering principles. * Ability ... AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics ...

IT360, Inc.

AI Engineer

Peoria, IL · On-site

Solid understanding of algorithms, data structures, and software engineering principles. * Ability ... AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics ...

Tech Tammina LLC

Embedded Software Engineer

Mossville, IL · On-site

$95K - $126K/yr

Translate research and AI/ML prototypes into real-time, production-grade software integrated with ... Hands-on experience with perception systems, sensor fusion, or motion planning algorithms.

All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Peoria, IL

Ai Algorithm Engineer information

See Peoria, IL salary details

$58.4K

$109.5K

$199.2K

How much do ai algorithm engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai algorithm engineer in Peoria, IL is $109,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

What job categories do people searching Ai Algorithm Engineer jobs in Peoria, IL look for?

The top searched job categories for Ai Algorithm Engineer jobs in Peoria, IL are:

What cities near Peoria, IL are hiring for Ai Algorithm Engineer jobs?

Cities near Peoria, IL with the most Ai Algorithm Engineer job openings:

Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in Peoria, IL as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $109,532 per year, or $52.7 per hour.

AI Engineer

IT360 Inc

Peoria, IL • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 26 days ago

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 


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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 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)