Top Natural Language Processing (NLP) Jobs in Chicago, IL

Design, develop, and deploy NLP and LLM-powered models to extract intent, outcomes, and sentiment from calls, chats, and digital interactions. Translate unstructured interactions into actionable insights, build evaluation frameworks, debug and improve model performance, and hand off production-ready artifacts to data engineering to improve call center efficiency and customer experience.

Paid remote study: complete a one-time guided English voice recording session (≈20 minutes) from your own compatible device. Participants should speak Chinese-influenced English (EN-ZH), be 18+, reside and record from an approved U.S. state, follow provided instructions, and will receive $18 for approved completion.

Lead end-to-end, high-impact implementations of a conversational AI platform for financial institutions. Drive strategy, stakeholder alignment, risk mitigation, solution design, testing, documentation, compliance fit, and mentor other implementation managers while improving processes and tooling.

Lead design and development of Google Dialogflow voice and chatbot solutions, gather and translate business requirements, integrate with backend systems, build reporting with BigQuery/Looker, mentor teams, manage IBM BPM deliveries, and liaise with stakeholders to drive projects to closure.

Develop and iterate post-training methods for large language models: drive data collection, build evaluations, design experiments, and apply reward modeling and RL techniques to improve model capabilities and deployment.

Work directly with enterprise customers to design, build, and deploy production voice AI applications. Integrate Retell APIs/SDKs, develop conversational workflows, debug telephony/SIP and infrastructure issues, optimize AI behavior and prompts, lead technical onboarding, and drive product improvements from proof-of-concept to production.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

Lead product strategy, roadmap, and delivery for Risk & Quality AI solutions. Operationalize LLM/NLP/OCR/agent workflows, define evaluation and monitoring, ensure responsible AI and regulatory compliance, partner with engineering/ML/clinical/compliance, and mentor a product team to deliver measurable client impact.

Deploy, configure, and optimize an AI voice agent for healthcare customers. Build evaluation suites, tune prompts, reduce latency and inference cost, monitor security/PHI handling, and automate onboarding while partnering with Product and Customer Success for go-live and production support.