Home My Resume Saved Jobs Matches Feedback

2669 Backend Software Engineer Ai Platform jobs in Chicago,IL

New, Posted 14 hours ago

Apply Directly

Gameplay Engineer 2 [209776]

Aquent Talent

Chicago, IL

$49/hr

RemoteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a technical field such as computer science, computer engineering, or a related discipline.
2-4 years of professional engineering experience.
Demonstrated experience in gameplay development, game mods/add-ons, or scripting.
Development experience in relevant scripting languages or technologies.
Experience with C#, C++, or HTML development.
Hands-on experience in designing, developing, and successfully deploying large-scale projects from end-to-end.
Hands-on experience following iterative and agile Software Development Life Cycle (SDLC) methodologies.
Ability to be flexible and adapt to change quickly in a positive manner.

SmartExplore AI is experimental.

New, Posted 9 hours ago

Apply Directly

Python Backend Developer

High Sierra Talent

Chicago, IL 60290

New, Posted 9 hours ago

Apply Directly

Remote Software Engineer - AI Research & Evaluation (US-based)

Turing

Cicero, IL 60804

RemoteBilingual Preferred

New, Posted 9 hours ago

Apply Directly

Student AI Engineer

buildahuman

Chicago, IL 60290

New, Posted 9 hours ago

Apply Directly

Software Engineer in Test

OtB Tech LLC

Chicago, IL 60290

Apply Directly

Senior Software Engineer

TAG - The Aspen Group

Chicago, IL 60290

New, Posted 23 hours ago

Principal Software Engineer

Mastercard

Chicago, IL 60290

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Extensive experience in designing and delivering large-scale, distributed systems and platforms.
Proven ability to influence technical strategy and drive architectural decisions across multiple teams.
Strong expertise in modern software engineering practices, cloud-native architectures, and AI/data platforms.
Exceptional communication and leadership skills with a track record of mentoring and thought leadership.
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Data Architecture & Strategy
Focus on designing modern, scalable, governed data ecosystems.
Data strategy and product-aligned data architectures
Modern database technologies and migration away from legacy Oracle
Data lakehouse architectures supporting analytics and ML workloads
Feature catalog / feature engineering platforms
High-Throughput, Low-Latency, and Real-Time Systems
Critical for Mastercard's real-time decisioning and event-driven platforms.
Event streaming and high-throughput data pipelines
Low-latency data technologies (distributed caches, grid replacement)
Real-time transaction processing and sub-second decisioning
Rules engine design and modernization
Cloud Infrastructure, Platform Engineering & DevOps
Driving cloud-native engineering practices and operational excellence.
AWS infrastructure engineering and cloud-native platform patterns
DevOps and platform engineering (automation, CI/CD, observability, GitOps)
ML lifecycle engineering (model training, deployment, refresh, inference)
Deep, progressive experience in software engineering.
Proven technical leadership roles influencing architecture and design across multiple teams.
Proven track record of delivering large-scale, distributed systems and enterprise-grade platforms.