All companies currently hiring a AI Engineer — on one page.
Showing 44 of 44 matching positions (1–44)
Build multi-step agents that browse, reason over sources and complete tasks on behalf of users.
Build the AI agent that scaffolds, edits and deploys full applications from a natural-language brief.
Build AI writing, search and agent features inside a workspace people use all day.
Turn model capabilities into dependable product surfaces across Abridge's healthcare platform, balancing latency, cost and quality.
Ship LLM-powered features into Airbnb's travel platform, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of Cursor (Anysphere)'s developer platform, and own their accuracy in production.
Turn model capabilities into dependable product surfaces across Ashby's product suite, balancing latency, cost and quality.
Ship LLM-powered features into Automattic's open-source projects, from prompt and retrieval design through evaluation and rollout.
Ship LLM-powered features into bKash's financial platform, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of BrowserStack's developer platform, and own their accuracy in production.
Turn model capabilities into dependable product surfaces across Bucket Robotics's robotics products, balancing latency, cost and quality.
Turn model capabilities into dependable product surfaces across Canva's design platform, balancing latency, cost and quality.
Ship LLM-powered features into Chainguard's security platform, from prompt and retrieval design through evaluation and rollout.
Turn model capabilities into dependable product surfaces across CircleCI's developer platform, balancing latency, cost and quality.
Ship LLM-powered features into CrowdStrike's security platform, from prompt and retrieval design through evaluation and rollout.
Turn model capabilities into dependable product surfaces across Daraz Bangladesh's commerce platform, balancing latency, cost and quality.
Build agentic workflows and tool-calling systems on top of Databricks's data platform, and own their accuracy in production.
Build agentic workflows and tool-calling systems on top of Deel's employment platform, and own their accuracy in production.
Build agentic workflows and tool-calling systems on top of DigitalOcean's product suite, and own their accuracy in production.
Turn model capabilities into dependable product surfaces across DoorDash's delivery network, balancing latency, cost and quality.
Turn model capabilities into dependable product surfaces across ElevenLabs's AI products, balancing latency, cost and quality.
Turn model capabilities into dependable product surfaces across Fivetran's data platform, balancing latency, cost and quality.
Turn model capabilities into dependable product surfaces across GoTo Group's delivery network, balancing latency, cost and quality.
Turn model capabilities into dependable product surfaces across Gusto's employment platform, balancing latency, cost and quality.
Build agentic workflows and tool-calling systems on top of Gymdesk's product suite, and own their accuracy in production.
Build agentic workflows and tool-calling systems on top of Hugging Face's open-source projects, and own their accuracy in production.
Turn model capabilities into dependable product surfaces across Linear's developer platform, balancing latency, cost and quality.
Ship LLM-powered features into Mozilla's open-source projects, from prompt and retrieval design through evaluation and rollout.
Ship LLM-powered features into OpenAI's AI products, from prompt and retrieval design through evaluation and rollout.
Turn model capabilities into dependable product surfaces across Oscilar's financial platform, balancing latency, cost and quality.
Turn model capabilities into dependable product surfaces across Ramp's financial platform, balancing latency, cost and quality.
Ship LLM-powered features into Retool's developer platform, from prompt and retrieval design through evaluation and rollout.
Ship LLM-powered features into Rippling's employment platform, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of Robinhood's financial platform, and own their accuracy in production.
Ship LLM-powered features into Rootly's product suite, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of Shopify's commerce platform, and own their accuracy in production.
Ship LLM-powered features into ShopUp's marketplace, from prompt and retrieval design through evaluation and rollout.
Ship LLM-powered features into Sierra's AI products, from prompt and retrieval design through evaluation and rollout.
Ship LLM-powered features into Snowflake's data platform, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of Stripe's financial platform, and own their accuracy in production.
Ship LLM-powered features into Temporal's developer platform, from prompt and retrieval design through evaluation and rollout.
Ship LLM-powered features into Toptal's marketplace, from prompt and retrieval design through evaluation and rollout.
Ship LLM-powered features into Vercel's developer platform, from prompt and retrieval design through evaluation and rollout.
Turn model capabilities into dependable product surfaces across Webflow's product suite, balancing latency, cost and quality.
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