Top Natural Language Processing (NLP) Jobs in Austin, TX

Design, develop, and deploy machine learning and NLP solutions at scale. Work with cross-functional teams to build content classification, representation learning, search, and recommendation models using classical ML, deep learning, and LLMs. Process large datasets with Python, SQL, and Spark, and communicate results to stakeholders with clear documentation.

Lead product and engineering as co-founder to build an explainable, audit-ready LLM-based compliance platform. Own architecture, security (SOC 2, tenant isolation, encryption, audit logging), AI/LLM training, explainability, reliability, product releases, customer relationships, fundraising milestones ($1M ARR), and hiring the founding engineering and applied-AI team.

Lead and mentor teams in developing language model-based AI solutions, ensuring high technical standards, quality implementations, and effective communication with stakeholders.

Develop and maintain applications using MCP and ChatGPT frameworks, optimize AI interactions, and prototype innovative solutions. Collaborate on product architecture with minimal supervision.

Own strategy, design, and optimization of Vanta's customer-facing chatbot and internal AI Copilot. Build and maintain AI-driven knowledge, design conversation flows in Intercom, analyze performance data, and collaborate cross-functionally to increase resolution rates and CSAT. Handle a small volume of support tickets to inform improvements and maintain product expertise.

Own post-sale delivery and ongoing performance of credit-union-facing AI agents (Emma): design conversation behavior, run live testing and go-lives, monitor quality and drift, run executive business reviews, codify playbooks and monitoring, and build the operating model and team to scale the function.

Build and own systems powering voice and text AI agents across calls, SMS, and email. Design prompts, tool integrations, evaluation frameworks, and observability; partner with product and design; apply CI/CD, testing, feature flags, and mentor junior engineers.

Conduct and productize cutting-edge multilingual live caption and translation research. Build and integrate ML/DL models, partner cross-functionally, act as domain expert, and present research across the company to drive localization impact.

Client-facing role redesigning legal workflows using AI agents and LLMs. Diagnose legal process inefficiencies, prototype LLM-based solutions, define requirements, ensure security and governance, coordinate cross-functional teams, and drive adoption and measurable value for law firm clients.

Lead enterprise strategy and product management to scale AI-powered voice, chat, email, and conversational experiences. Own roadmap, platform modernization, global deployment, governance, and continuous optimization to increase digital adoption, reduce servicing demand, and deliver measurable business value across servicing operations.