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Entry Level Intelligent Systems Engineering Jobs in Hillview, IL

Socket.dev

Principal AI Engineer

Time, IL · On-site

$140 - $210/hr

Shape how intelligent systems make decisions in finance and complex operational domains. * Collaborate with researchers and engineers pushing the frontier of causal intelligence. * Build systems that ...

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Entry Level Intelligent Systems Engineering information

See Hillview, IL salary details

$40.9K

$87.2K

$143.9K

How much do entry level intelligent systems engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level intelligent systems engineering in Hillview, IL is $87,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $104,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Intelligent Systems Engineering vs Entry Level Robotics Engineering?

AspectEntry Level Intelligent Systems EngineeringEntry Level Robotics Engineering
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of AI, machine learning, and systems integrationBachelor's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentDesigning and developing intelligent systems, software integration, testing in labs or office settingsBuilding, testing, and maintaining robotic systems, often in labs or manufacturing environments
Industry UsageTech companies, AI firms, defense, and automation industriesManufacturing, automation, aerospace, and research labs

Entry Level Intelligent Systems Engineering focuses on developing and integrating AI-driven systems, while Entry Level Robotics Engineering emphasizes designing and building robotic devices. Both roles require a strong technical background and often overlap in skills like programming and systems analysis, but they serve different primary functions within technology and engineering sectors.

Is system engineer an entry-level job?

A system engineer role can be entry-level, but it often requires some foundational knowledge of systems, networks, or software, along with relevant certifications or internships. Entry-level positions typically focus on supporting more experienced engineers and may involve tasks such as troubleshooting, documentation, and basic system design.

What is an entry level intelligent systems engineer?

An entry level intelligent systems engineer is a professional who designs, develops, and tests systems that incorporate artificial intelligence, machine learning, and automation technologies. They typically have foundational knowledge of programming, data analysis, and systems integration, often using tools like Python, MATLAB, or ROS, and may hold a relevant bachelor's degree. This role involves learning on the job and gaining experience in deploying intelligent solutions in real-world environments.

What cities near Hillview, IL are hiring for Entry Level Intelligent Systems Engineering jobs?

Cities near Hillview, IL with the most Entry Level Intelligent Systems Engineering job openings:

Entry Level Intelligent Systems Engineering jobs near you
Infographic showing various Entry Level Intelligent Systems Engineering job openings in Hillview, IL as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $87,212 per year, or $41.9 per hour.

Principal AI Engineer

Socket.dev

Time, IL • On-site

$140 - $210/hr

Other

Posted 13 days ago

Job description

Mission Context

We are building a causal decision engine for high-stakes systems where reasoning must be explicit, interventions must be provable, and outcomes must be accountable.

What You'll Work On
  • Design and ship causal-aware AI systems that combine LLMs, structured data, time series, and knowledge graphs.
  • Build and deploy agentic reasoning workflows for simulation, intervention analysis, and decision support.
  • Architect scalable model pipelines across multimodal data sources, from raw signals to verified insights.
  • Push models beyond prediction toward explanation, counterfactual reasoning, and causal proof.
  • Collaborate with researchers and engineers to translate theory into operational systems.
  • Own system performance, reliability, and accountability in real-world, high-stakes environments.
What We Look For
  • Strong track record of shipping production AI systems under real-world constraints.
  • Deep understanding of modern machine learning and generative models (LLMs, transformers, representation learning).
  • Ability to reason about time, causality, and uncertainty — not just fitting models.
  • Experience building systems end-to-end and standing behind their outcomes.
  • Strong ownership, systems thinking, and technical leadership.
Bonus
  • Experience with causal discovery, do-calculus, counterfactual modeling, or causal inference frameworks.
  • Experience deploying AI systems in finance, markets, or other high-stakes domains.
Work Style
  • Impact-first: focus on outcomes, not process.
  • Ownership-driven: take responsibility for what you ship.
  • Low-ego, high-agency: value clear thinking over titles.
  • Research-meets-reality: theory matters only when it runs in production.
Why Join Abel
  • Work on foundational AI systems where reasoning, explanation, and trust truly matter.
  • Shape how intelligent systems make decisions in finance and complex operational domains.
  • Collaborate with researchers and engineers pushing the frontier of causal intelligence.
  • Build systems that move beyond prediction toward accountable, explainable intelligence.
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