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This listing was closed on Jul 22, 2026.
Browse Open JobsStaff AI Software Engineer
Summary by AIEngineer.careers
Staff AI Software Engineer is a AI Engineer role (full-time). with iManage. in CHICAGO, US. Compensation shown: $180K–$220K. Imported listing (source: builtinchicago.org). Apply on the employer's site (builtinchicago.org).
Imported listing (source: builtinchicago.org) · Apply on builtinchicago.org
CHICAGO · US
$180K–$220K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from builtinchicago.org
iManage is seeking a Staff AI Software Engineer to build and deploy AI systems for their enterprise knowledge work platform. This role involves end-to-end ML lifecycle, from training to production, focusing on NLP and generative AI. The position requires hybrid work in Chicago, IL.
Responsibilities
- Own the end-to-end ML lifecycle for AI systems from prototype to production, including model development, evaluation, and scalable deployment.
- Collaborate with product and business stakeholders to translate requirements into technical solutions.
- Deploy and optimize ML/AI systems on GPUs and Kubernetes-based cloud infrastructure.
- Apply modern engineering practices for production AI systems, including monitoring, observability, CI/CD, and release governance.
- Drive architectural decisions for AI systems and mentor team members.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or related field.
- 5+ years of ML/AI engineering experience with 3+ years building and shipping NLP and LLM systems.
- Deep proficiency in Python and modern AI frameworks (PyTorch, Hugging Face).
- Experience with fine-tuning and deploying language models.
iManage
Chicago · US · 1309+ employees
iManage is a privately held, cloud-enabled knowledge-work software company headquartered in Chicago. Its secure platform uses AI, document and email management, collaboration, governance, security, and workflow capabilities to help professional-services and other knowledge organizations activate business knowledge.
