This page tracks remote ai engineer openings that are location-eligible for Illinois.
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GitLab, founded in 2011 and based in San Francisco, California, maintains a distributed team of professionals that work remotely across multiple continents. GitLab advocates for pr
• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput • Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms • Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible • Partner closely with stakeholders across functions to understand the real constraints • Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable • Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations
Role Description A well-funded seed-stage startup building the next generation of autonomous trading technology. You are building the intelligence layer on top of a purpose-built execution system for AI agents operating with real capital around the clock. What You'll Own - Learning System & RL Loop (~70%): - Design and implement the pipeline that connects live trade outcomes back to strategy improvement — signal quality, position sizing, timing, risk parameters. - Build the evaluation framework that separates genuine predictive signal from noise across agents, market conditions, and configurations. - Automate the strategy generation and testing cycle — the system should explore new configurations, validate them against real fleet data, and surface deployment candidates. - Detect regime shifts in market conditions and adapt fleet behavior accordingly. - Decompose every trade into its component drivers — signal quality, execution efficiency, exit timing — and wire those attributions back into strategy design. - Manage fleet-level coordination: concentration risk, capital allocation, and the exploration vs. exploitation balance. - Build the telemetry and data capture layer that makes all of the above possible. - Model & Inference Infrastructure (~30%): - Own the build-vs-buy decision on model hosting — evaluate proxied external APIs versus fine-tuned models on owned infrastructure and execute the chosen path. - Determine whether domain-specific training on trading data meaningfully outperforms prompted general-purpose models — then build the pipeline to act on that answer. - Optimize inference for the specific demands of a large autonomous agent fleet: concurrent agents, structured outputs, cost efficiency at scale. - Build the agent telemetry layer capturing every decision, signal score, and evaluation across the fleet. Qualifications - A production closed-loop system — model outputs drove real-world actions, outcomes were measured, and that feedback automatically improved the next decision. - Practical RL or online learning experience — you understand the challenges of learning from real-world feedback rather than static datasets. - Full-stack ML ownership — you build the pipeline, deploy the model, and own the outcome; Python primary, comfortable with Go or TypeScript in production services. - High-stakes sequential decision-making domain experience — finance preferred but not required; robotics, autonomous vehicles, game AI, ad bidding, and supply chain all transfer. Nice to Have - LLM fine-tuning and open-source model serving in production (vLLM, TGI, PEFT/LoRA). - Multi-agent system design. - Financial ML — signal generation, execution optimization, portfolio construction. - Onchain or DeFi experience. Interview Process - Fast — target first call to offer within two weeks. - Intro call with founders (60 min) — fit, motivation, your closed-loop experience. - Technical deep-dive (60 min) — open-ended system design, no right answer, evaluating how you think. - Paid trial project (1 week, part-time) if needed — real problem, compensated.
The CES Family of Companies is a collection of strong brands and businesses providing food equipment, supplies, service.
• Design and implement AI/GenAI features across applications and SDLC workflows • Build AI solutions using platforms like Azure AI Foundry and LLM APIs • Develop agent-based workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel • Implement RAG-based solutions and prompt engineering strategies • Leverage GitHub Copilot for AI-assisted development and productivity • Build full-stack applications using Python, JavaScript/TypeScript, and/or C# (.NET) • Develop APIs, backend services, and integrate with databases (SQL/NoSQL) • Ensure application quality through testing, monitoring, and observability • Collaborate with cross-functional teams (product, UX, data science) • Troubleshoot and optimize AI models, pipelines, and integrations
Apex Systems, an IT staffing and workforce solutions firm, provides recruiting and staffing services to large and small companies alike. Founded in 1995 by three Virginia Tech clas
Job Description: Location: Lemont, Illinois (Hybrid) Employment Type: Contract Duration: 6+ month contract w/extension Role Overview An opportunity is available for an AI Integration Developer to design, enhance, and maintain AI-assisted workflows supporting scientific data. This role involves collaborating with scientific domain experts to understand data structures, implement dataset taxonomies, and orchestrate the migration of datasets for computational analysis using approved LLMs. The position focuses on automation, orchestration, and data structuring to build impactful solutions for research scientists. Key Responsibilities - Collaborate with scientific domain experts to understand datasets, locations, and desired outcomes. - Design and implement AI-driven data workflows, including data preparation, metadata structuring, and LLM-enabled orchestration. - Filter, sanitize, normalize, and prepare data for long-term storage and sharing. - Package data with AI-enabling metadata into HDF5 format. - Create mechanisms to migrate and inventory data for easy retrieval. - Build accessible and user-friendly interfaces and workflows for research staff. - Develop solutions using revision control and adhere to cybersecurity and IT standards. - Deliver a minimum viable product (MVP) within the first 90 days, followed by further refinement and feature additions. Required Qualifications Education: An Associate or bachelor’s degree in computer science, information technology, system administration, or a closely related field, or equivalent experience is required. Experience: A minimum of two years of experience in software development and/or system administration is required. Technical Skills: - Strong understanding of AI, LLMs, and prompt engineering. - Proficiency in Python scripting for automation and workflow development. - Experience building data pipelines or ETL-like processes, including data cleansing, normalization, and transformation. - Working knowledge of REST APIs. - Familiarity with Git or other revision control systems. - Experience with CI/CD pipelines (e.g., GitLab/GitHub). - Strong skills in Linux (RHEL/Debian) command-line administration. - Familiarity with relational databases such as MySQL or Oracle. Preferred Qualifications - Experience with AI workflow orchestration tools like Dify. - Familiarity with GUI development using Python or web-based applications. - Understanding of data workflows within scientific or research environments. - Exposure to LLM-based data processing or automation use cases. Work Environment This is a full-time, 40-hour per week contract position. The work schedule is primarily remote, with a requirement to be on-site between 20-40% of the time. The role involves working with government-furnished equipment and adhering to all computer protection program policies and security requirements. Compensation The pay rate for this position ranges from $50.00 to $80.00 per hour. Compensation may vary based on factors including but not limited to experience, qualifications, and geographic location. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Personal data collected during the recruitment process will be processed in accordance with the Privacy Notice of Aplaz, S.A. de C.V. (“Aplazo”), available at our Privacy and Policy Notice. Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.
Role Description We are looking for an AI Engineer to help build and scale a company-wide AI platform that will power customer-facing assistants, internal tools and future AI-driven products. This role is not a data science position. You will focus on systems, platforms, reliability and integration, ensuring AI capabilities are safe, scalable, cost-effective and reusable across teams. - Designing and building the core AI platform (gateways, orchestration, retrieval, tooling) - Integrating and operating LLMs via APIs and self-hosted solutions - Creating reusable infrastructure that enables product teams to ship AI features quickly - Implementing safety, compliance and observability for production AI systems - Partnering closely with Product, Backend, Data Science and Security teams to define AI capabilities Qualifications - 4+ years of experience in backend, platform or infrastructure engineering - Strong experience building production APIs and distributed systems - Experience with cloud platforms (AWS, GCP or Azure) - Solid understanding of system design, scalability and reliability - AI & ML literacy (not DS-heavy) - Practical experience integrating AI/ML models via APIs - Understanding of how LLMs work at a systems level (prompts, tokens, latency, cost) - Familiarity with concepts like: - Retrieval-augmented generation (RAG) - Model limitations and hallucinations - AI safety and guardrails - Ability to reason about AI behavior, risks and trade-offs Requirements - Strong programming skills in one or more backend languages (e.g., Python, Java, Go, Node.js) - Experience with data stores (SQL, NoSQL, Redis, search engines) - Familiarity with event-driven or async architectures - Experience with observability tools (logs, metrics, tracing) Nice to have - Experience building internal platforms or developer tooling - Exposure to fintech, payments or regulated environments - Experience with vector databases or search systems - Prior work on chatbots, assistants or workflow automation - Experience designing systems used by multiple teams What success looks like - Product teams can ship AI features without rebuilding infrastructure - AI systems are reliable, safe and cost-controlled in production - New AI use cases plug into a shared platform with minimal effort - Leadership has visibility into AI performance, quality and impact Benefits - Build foundational AI infrastructure used across the company - Work at the intersection of AI, platforms and real business impact - Shape how AI is safely deployed in a fintech/BNPL environment - High ownership, high visibility and long-term technical impact #Ly-remote Personal data collected during the recruitment process will be processed in accordance with the Privacy Notice of Aplaz, S.A. de C.V. (“Aplazo”), available at our Privacy and Policy Notice. Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits. - Equity opportunities may also be part of your total rewards package.
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits. - Equity opportunities may also be part of your total rewards package. Company Description Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. - Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. - We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. - We have more than 5 million customers — and we’re just getting started. - Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Work for a Fortune 500 company that rewards performance, invests in your growth, and provides a launchpad for a high-earning remote sales career. This isn’t just a job — it’s your path to leadership, income, and long-term success.
Role Description Remote Career Opportunity — Your Future Starts NOW! - Make outgoing calls, emails, texts, and chats with clients. - Help families understand and choose the right benefit programs. - Maintain accurate records while delivering excellent service. - Collaborate with teammates to maximize customer satisfaction. - Provide caring support to clients by phone or online. Qualifications - Strong communicators with problem-solving abilities. - Adaptable multitaskers who thrive in fast-paced settings. - Must be willing to get Licensed in Life and Health Insurance. - Reliable and coachable candidates eager to learn and grow. - Must be a U.S. Resident. Requirements - No experience? No problem. We provide complete training. Benefits - High Earnings Potential — Earn $60K–$80K in your first year, with unlimited bonuses. - Fast Career Growth — Promotions, leadership roles, and continuous training await. - Flexible Lifestyle — Full-time or part-time hours designed around your life. - Supportive Team Culture — Work with motivated peers who celebrate wins together. - Free Full Training — No prior experience required; we coach you every step of the way. Company Description Join the fast-growing team at Globe Life AO and take control of your future with flexible schedules, uncapped bonuses, and rapid career growth. Get hired in as little as 24–48 hours and begin building your success story today!
Role Description Under the supervision of the Dispatch Program Manager, the Dispatch Core 1 and Core 2 Agents are responsible for processing inbound and outbound calls to the point of resolution, including customer service assistance, inquiries, and complaints. They will provide the highest quality service while ensuring that the caller’s needs are met. Dispatch Resolution Representatives will focus on meeting monthly goals in NPS, CPE, AHT, QWT, and more. Work Location and Schedule - Location: Mesa, AZ and Irving, TX - Work Week: 40+ hours, including at least 1 weekend day. - Job Type: Full-Time Compensation - $16.00 per hour base pay. - Eligible for bonus incentives based on performance metrics upon completion of training(s) & passing all exams. - Average Dispatch Agent compensation after incentives is up to $19 per hour or more. Benefits - Medical, dental, vision, disability, FSAs, and life insurance - Paid Time Off and paid holidays - 401K - Pet Insurance - 5-day work week - Employee Assistance Program - Training and Development Programs - Legal Coverage - Identity Theft Protection - Referral Program - And so much more… Responsibilities and Duties - Provide roadside assistance to customers. - Working Dispatches for Core 1 (Light Duty) and Core 2 (Medium and High Duty). - Answer Member and Vendor Call Backs. - Work Digital Dispatches. - Dispatching Mobile Dispatching. - Work White Glove and Manual Closed Loop as needed. - Troubleshooting and resolving problems encountered by customers. - Educate and explain membership benefits and coverage. - Keep current on all benefit/training information. - Keep current all company and departmental policies and procedures. - Maintaining or exceeding minimum requirements of the CSR Standards of Measurements. - Adhere to all company and department policies. - Log into network and e-mail and adhere to equipment policies. - Maintain acceptable levels of performance to include but not limited to attendance, adherence, fulfillment, and all other productivity and efficiency targets and objectives. - Support safety and ergonomic standards. - Acknowledging employee’s birthdays and anniversaries. - Support your fellow teammates. - Adhere to our Core Values. - Other duties as assigned. Qualifications - Minimum 6 months Customer Service Dispatching skills. - Excellent Customer Service Skills. - Good verbal/written communication skills. - Good analytical and problem-solving skills. - Computer/keyboard experience and Internet knowledge. - Ability to function in a team environment. - Ability to think outside of the box. - Mapping with Bing or Google maps and searching skills. - Ability to work varied shifts and varied days off as needed. Education - High School Diploma or Equivalent
• Own critical parts of our data extraction and pipeline infrastructure • Work hands-on with AI to solve real infrastructure challenges • Use AI tooling actively: Claude Code, prompt engineering, agentic coding to accelerate development • Develop and maintain core data extraction and pipeline infrastructure serving 500+ integrations • Own the architecture and execution of pipeline modernization initiatives • Optimize product performance and reliability at scale: identify bottlenecks, manage resource constraints, and ensure data flows without disruption • Drive technical decisions, and maintain high code quality
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Python, JavaScript, TypeScript, SQL, GraphQL, Azure
