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Remote Autonomous Systems Jobs in Chicago, IL (NOW HIRING)

They are fully remote and growing fast. How long has the company been operating? 2017 Total company ... systems at scale. In autonomy and physical AI, there is no margin for error. The Role We are hiring ...

... systems, allowing you to deliver thoughtful and structured care. What your day-to-day practice ... autonomy & flexibility: * Independent treatment decision-making * Input into schedule and weekly ...

... systems, allowing you to deliver thoughtful and structured care. What your day-to-day practice ... autonomy & flexibility: * Independent treatment decision-making * Input into schedule and weekly ...

... systems, allowing you to deliver thoughtful and structured care. What your day-to-day practice ... autonomy & flexibility: * Independent treatment decision-making * Input into schedule and weekly ...

... systems, allowing you to deliver thoughtful and structured care. What your day-to-day practice ... autonomy & flexibility: * Independent treatment decision-making * Input into schedule and weekly ...

... autonomously, and take real ownership of our work. We know human connections make strong teams, so ... You communicate clearly and confidently * You're enthusiastic about improving processes and systems ...

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Remote Autonomous Systems information

See Chicago, IL salary details

$47.4K

$105.1K

$157.6K

How much do remote autonomous systems jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote autonomous systems in Chicago, IL is $105,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $128,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Autonomous Systems vs Remote Robotics Engineers?

AspectRemote Autonomous SystemsRemote Robotics Engineers
Required credentialsBachelor's or higher in engineering, computer science, or related fields; experience with AI, machine learning, and control systemsBachelor's or higher in robotics, mechanical, electrical engineering; proficiency in programming and hardware integration
Work environmentDesigning, testing, and deploying autonomous systems remotely, often in industries like defense, transportation, or agricultureDeveloping robotic hardware/software remotely, often in research labs or industrial settings
Employer and industry usageTech companies, defense contractors, transportation firmsRobotics startups, manufacturing, research institutions

Remote Autonomous Systems professionals focus on creating and managing autonomous technologies remotely, often involving AI and control systems. Remote Robotics Engineers develop robotic hardware and software remotely, emphasizing hardware integration and mechanical design. While both roles require engineering expertise and often overlap in AI and automation, their primary focus and industry applications differ.

What are the most commonly searched types of Autonomous Systems jobs in Chicago, IL?

The most popular types of Autonomous Systems jobs in Chicago, IL are:

What are popular job titles related to Remote Autonomous Systems jobs in Chicago, IL?

For Remote Autonomous Systems jobs in Chicago, IL, the most frequently searched job titles are:

What cities near Chicago, IL are hiring for Remote Autonomous Systems jobs?

Cities near Chicago, IL with the most Remote Autonomous Systems job openings:

AI Engineer Lead - Remote / Telecommute

CYNET SYSTEMS

Chicago, IL • Remote

$115 - $120/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Job description

Job Overview:
Pay Range: $115.00hr - $120.00hr
Requirement/Must Have:
  • 8+ years of software/AI/ML engineering experience, with 2+ years in a technical lead role.
  • Proven experience designing and deploying AI/ML and Generative AI solutions in production, ideally including orchestration frameworks and agentic architectures (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, or similar).
  • Strong hands-on experience with the Azure ecosystem (e.g., Azure OpenAI, Azure ML, Azure Functions, AKS, Azure Data services).
  • Experience with Snowflake, including Semantic Views and Cortex Analyst (or comparable text-to-SQL / semantic layer technologies).
  • Solid foundation in machine learning concepts, MLOps/LLMOps practices, and model lifecycle management, including integrating deployed ML models into orchestrated AI workflows.
  • Experience building RAG / document intelligence pipelines over unstructured content (e.g., playbooks, guidelines, knowledge bases).
  • Strong programming skills in Python; experience building APIs and microservices.
  • Experience working cross-functionally with data science, platform, and business teams in a large enterprise environment.
  • Experience implementing guardrails for AI systems (e.g., output validation, grounding, content filtering, and hallucination mitigation) to govern responses and protect user trust.
  • Strong verbal and written communication skills and the ability to operate with autonomy and ownership.
Responsibilities:
  • Lead the design, development, and deployment of the AI orchestration layer for Brand Growth Systems, enabling automated and intelligent insight generation.
  • Build the orchestration layer across three core capability sources: Snowflake Semantic Views, deployed ML models, and unstructured documents.
  • Partner with Business teams, the Gen AI COE, Data Science, ML, and Snowflake Platform teams to translate business needs into robust, scalable AI engineering solutions.
  • Architect and implement agentic AI workflows advancing capabilities from proactive insights toward agentic and ultimately autonomous systems.
  • Integrate LLM-based components, ML models, and data pipelines into cohesive, production-ready services on Azure.
  • Establish engineering best practices for AI solution development, including evaluation, monitoring, observability, security, guardrails, and responsible AI standards.
  • Implement guardrails around AI-generated responses including grounding, output validation, and content safety controls to govern response quality and protect user trust.
  • Provide senior-level technical guidance and mentorship to engineers and cross-functional partners.
  • Drive rapid prototyping and iteration while maintaining a clear path to production and enterprise-grade quality.
  • Communicate architecture decisions, trade-offs, and progress clearly to both technical and business stakeholders.
  •  
  • Nice to Have:
  • Experience with RAG pipelines, vector databases, and prompt/agent evaluation frameworks.
  • Familiarity with CPG, retail, or consumer insights/brand analytics domains.
  • Experience establishing responsible AI, governance, and security practices for enterprise AI systems.
  • Background in scaling AI capabilities within a Center of Excellence or platform team model.
  • Experience working with globally matrixed teams.
Skills:
  • AI Engineering.
  • Machine Learning.
  • Generative AI.
  • Azure OpenAI.
  • Azure ML.
  • Azure Functions.
  • AKS.
  • Snowflake.
  • Cortex Analyst.
  • Python.
  • LangChain.
  • LangGraph.
  • Semantic Kernel.
  • AutoGen.
  • MLOps.
  • LLMOps.
  • RAG.
  • APIs.
  • Microservices.
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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