Top Natural Language Processing Software Engineer Jobs in Chicago, IL

As a Senior Developer Advocate at Deepgram, you will create and share demos, reference applications, and technical content, engage with the developer community, and advocate for voice AI adoption, requiring strong knowledge in software engineering and dev relations.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

The job requires an Oracle DBA with over 10 years of experience to support a client for 10 months. Candidates must be U.S. citizens or Green Card holders.

Design, build, and scale data integrations for healthcare systems, collaborating with teams and enhancing functionality while ensuring security and quality.

This role involves delivering data engineering solutions, leveraging Microsoft Azure technologies, developing reports, and providing coaching and feedback to team members.

Lead the design and implementation of innovative Conversational AI solutions, mentoring teams, and ensuring the delivery of scalable, cloud-native applications.

Lead the technical vision for complex systems, drive architectural strategies, write production-ready code, and align teams for public sector compliance.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

As a Partner Solutions Engineer at PolyAI, you will support Systems Integrators in deploying AI voice assistants, work on integration architecture, and enhance partner enablement programs while leveraging AI tools for workflow automation.