AI Engineer

• Build and operate LLM-powered internal solutions, tools, and automations end-to-end
• Ship customer-facing AI features
• Drive technical decisions from design through production rollout
• Own systems in production, including monitoring, reliability improvements, and incident response participation
• Build and maintain LLM evaluation workflows, including quality/safety checks, baselines, and regression detection
• Partner with R&D, product, and security teams
• Evaluate emerging AI technologies and patterns, and advocate adoption when justified

Applied AI Engineer

• Focuses on the hands-on building of AI-powered marketing tools, multimodal media processing (audio/video), and data analytics pipelines.
• Tool & Feature Engineering: Build and maintain custom LangChain tools that allow AI agents to interact with the web, CRMs, and internal SQL databases.
• Multimodal Processing: Implement PyTorch and OpenCV pipelines for analyzing and generating brand-consistent images, video, and audio.
• Data Analytics & Pipelines: Execute complex SQL queries and Pandas scripts to transform raw marketing data into insights for AI-driven decision tools.
• Endpoint Maintenance: Develop and document FastAPI endpoints for use by the marketing team's internal applications.
• Model Monitoring: Regularly evaluate model performance and fine-tune open-source transformers to improve accuracy for specific marketing use-cases.

See all jobs on JobTailor

Applied AI Engineer

AI Engineer