As a Lead Deployment Strategist, you'll address manufacturing challenges by deploying AI solutions, collaborating with stakeholders, and translating data into actionable insights.

The Senior / Staff Frontend Engineer will design and implement high-quality UI components for a web application, focusing on data visualization and collaboration with design and backend teams. Responsibilities include mentoring, shaping frontend strategy, and maintaining best development practices.

Design, build, and scale core backend systems; manage services and APIs for engineering data streams, ensuring performance and compliance.

The Senior / Staff Infrastructure Engineer will design and manage infrastructure for AI platforms, ensuring security, reliability, and scalability in cloud deployments. Responsibilities include deploying hybrid solutions and implementing infrastructure-as-code.

As a ML Engineer at Apiphany, you will develop advanced machine learning models, focusing on engineering data, AI systems, and real-world performance.

Prepare, clean, and validate structured and unstructured data for LLM-driven systems; build training datasets, support RAG and NL->SQL pipelines, perform data quality checks, and assist in data pipelines/APIs and model evaluation.

Review and interpret mechanical and manufacturing client data, guide data processing teams on relevance and tagging, validate processed outputs, support quality checks, and provide domain input during client discussions.

As a Full Stack Engineer, you'll develop AI-powered manufacturing applications, integrating real-time AI models and handling large-scale data pipelines while creating user interfaces for decision-making.