1019 Agentic Ai Software Engineer jobs in Chicago,IL

**Education:** Bachelor's degree in mechanical, electrical, or industrial engineering.
**Experience** : 5+ years in maintenance engineering or similar role in manufacturing/industrial environment.
**Skills:** Strong analytical and problem-solving skills, with experience in Root Cause Analysis and Six Sigma tools.
**Maintenance Knowledge:** Proven expertise in total productive maintenance practices, reliability-centered maintenance, and maintenance management systems.
**Manufacturing Knowledge:** Deep understanding of mechanical and electrical systems in a manufacturing environment;
**Systems:** Experience with automation and control systems, PLC & CAD software, CMMS, Oracle Fusion Cloud, Hydra MES systems, diagnostic tools, and maintenance management software.
Applicants must be currently authorized to work in the United States on a full-time basis.

PLATINUM SUPPLEMENTAL INSURANCE

Countryside, IL 60525

18+
Comfortable with Travel: You're 18+ and ready for overnight travel Monday-Thursday within your assigned territory.

PLATINUM SUPPLEMENTAL INSURANCE

Summit, IL 60501

18+
Comfortable with Travel: You're 18+ and ready for overnight travel Monday-Thursday within your assigned territory.

Ulta Beauty

Bolingbrook, IL 60440

B.S. in Computer Science or Computer Information Systems
8+ years experience in product development or related technical field
2+ years leading or managing technical teams, ideally within retail media, ad tech, or data platform environments
Experience with relevant tech stack including backend services built in Java, cloud‑native platforms on Google Cloud Platform (GCP), large‑scale analytics and reporting leveraging BigQuery, and integrations with third‑party ad tech and data platforms
Experience driving technical and analytical teams
Experience integrating platforms such as The Trade Desk, LiveRamp, Criteo, Citrus Ads and Google Ad Manager into RMN technology ecosystems
Experience implementing server-side tracking (CAPI) and identity frameworks (e.g., UID2)
Exposure to clean rooms and privacy-enhancing technologies
Experience building or integrating attribution models (MTA, MMM, incrementality)
Proven experience with agile (continuous delivery) and iterative methodologies
Solid experience with hybrid & cloud environments
Proven experience in eliciting requirements and enterprise automation
Solid experience writing product development requirements and architecture
Demonstrated experience in generating process modeling

Lovejoy Curtis LLC

Downers Grove, IL 60515

7 years of manufacturing experience
5 years' experience project management
Experience with time studies
Experience technical skills in product drawing and specification interpretation
Bachelor's degree in engineering
Strong Lean/ 6 sigma / Ci background and experience
The pay range for this position is $72,000 to $105,000 annually
Eligible candidates are; US Citizens, Green Card holders, Asylees or others eligible to receive US export license authorizations.
Candidate must be authorized to work in the US.

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Rise

Chicago, IL 60695

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required.
Master's degree preferred.
Minimum of 10+ years of experience in data engineering, distributed systems, or enterprise data architecture.
Minimum of 5+ years designing large-scale cloud-based data platforms.
Demonstrated experience leading architectural strategy across multiple teams or business units.
Location: 4 days in office, Chicago or Sussex
This position is not eligible for visa sponsorship, including F-1 visa holders requiring CPT, OPT, or future H-1B sponsorship. Candidates must be authorized to work in the United States without current or future immigration sponsorship.
Experience in media, marketing analytics, or high-volume consumer data environments is a plus.
Knowledge of cloud-native data architectures, lakehouse and warehouse platforms, distributed computing (e.g., Spark), data orchestration frameworks, API-driven data integration, CI/CD for data platforms, and data lifecycle management and system interoperability.