Top Artificial Intelligence Jobs

Build and scale ReadyOn’s real-time backend decision layer. Design and implement decoupled TypeScript/Node.js (NestJS) services, work with Python components, optimize PostgreSQL schemas and queries, manage migrations and concurrency, integrate GraphQL, and collaborate with product, design, and AI teams to deliver high-impact production features. Onsite in San Francisco.

Design and implement full stack solutions, build APIs, create data visualization tools, and develop AI/ML solutions for the defense sector.

Build and ship end-to-end features and systems for an AI-native commercial insurance broker. Design backend architecture, implement durable workflow orchestration, productionize agentic LLM applications, and build RAG/search pipelines. Work directly with founders, brokers, and customers to iterate and deploy AI-driven automation and customer-facing products.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Design, build, and maintain automation workflows and data pipelines across admissions, education, career services, and billing. Create BI dashboards, ensure data accuracy, manage lightweight databases (e.g., Supabase), and support cross-functional teams to improve operational efficiency and scalability.

Build and run an outbound engine targeting SMB owners and executives in specified industries. Create prospect lists, run outreach (calls, email, LinkedIn), book qualified discovery calls, maintain the CRM, report results, and recommend tools/process improvements. Role may evolve into field-facing business development.

The AI Designer will apply generative models to real-world design scenarios, evaluate quality gaps, curate reference images, and provide structured feedback to enhance AI tools.

Hunt and close new high-value enterprise fleet accounts ($100K+ ARR). Own the full sales cycle, build pipeline via strategic outbound, engage multi-stakeholder buyers, forecast reliably, co-sell with an ADR, collaborate with marketing, and consistently hit quarterly ARR targets.

Answer inbound customer calls and chats using AI tools to troubleshoot and resolve issues, de-escalate frustrated customers, follow documented processes, and flag patterns to improve systems.

Own Minerva's inbound sales pipeline and full sales cycle from demo request to closed deal. Run discovery calls, deliver technical and business-facing demos of the API and identity graph, collaborate with engineering/data on scoping, match-rate tests, and POCs, and relay market feedback to shape product and roadmap.