Top Tech Jobs & Startup Jobs in Chicago, IL

Reposted One Month AgoSaved
Remote
United States
170K-200K Annually
Senior level
170K-200K Annually
Senior level
Software
Design, build, and operate core AI capabilities and reusable model integrations for an enterprise platform. Integrate foundation models into production, optimize performance and reliability, prototype new techniques, and support scalable backend services and distributed AI systems in collaboration with cross-functional teams.
Top Skills: Ai AgentsAPIsCloud-Native InfrastructureDistributed SystemsFoundation ModelsKubernetesLarge Language ModelsModel OrchestrationMultimodal AiObservabilityPythonRetrieval-Augmented Generation (Rag)Rust
Reposted One Month AgoSaved
Remote
USA
170K-200K Annually
Senior level
170K-200K Annually
Senior level
Software
Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.
Top Skills: Ai Orchestration FrameworksCi/CdDevOpsDistributed DatabasesDockerExecution RuntimesIndexing SystemsKubernetesMachine Learning InfrastructureRustStorage SystemsWorkflow Engines
Reposted One Month AgoSaved
Remote
United States
240K-280K Annually
Senior level
240K-280K Annually
Senior level
Software
Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.
Top Skills: Agentic AiHuggingfaceKubernetesLlmsPyTorchRag PipelinesScikit-LearnSpacy
Reposted One Month AgoSaved
Remote
USA
200K-260K Annually
Expert/Leader
200K-260K Annually
Expert/Leader
Software
Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.
Top Skills: Ai Orchestration FrameworksCi/CdDevOpsDistributed DatabasesDockerExecution RuntimesKubernetesMachine Learning WorkflowsRustStorage And Indexing SystemsWorkflow Engines
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