"llm provider apis" Jobs
241 open tech roles matching “llm provider apis”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, TypeScript. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 241 results
Lead a high-performing engineering team at Databricks to enhance the AI Runtime product for GPU training infrastructure.
Lead the technical direction of Komodo's core platform, ensuring reliability, security, and efficiency while collaborating with cross-functional teams.
Drive adoption and value for enterprise accounts as a Customer Success Manager at OpenRouter.
Join Baseten as a Product Marketing Manager to engage developer audiences and drive go-to-market strategies for AI products.
Join Anthropic as a Support Engineer to provide high-touch technical support for strategic enterprise customers.
Join Anthropic as a Finance Systems Engineer to enhance financial planning and analytics through innovative technical solutions.
Join Carta as a Workday Integrations Architect to enhance integration pipelines and ensure data integrity across platforms.
Lead the North America GTM strategy for Inworld AI, managing key customer relationships and driving sales growth.
Lead the enablement of the Claude Platform, creating demos and training for technical teams to showcase AI capabilities confidently.
Lead the Healthcare and Life Sciences Solutions Architect team at Anthropic to drive AI adoption in the healthcare sector.
Join HappyRobot as a Technical Customer Support Specialist to enhance customer experience with AI platforms.
Join Braintrust as a Platform Support Engineer to tackle complex infrastructure challenges for major clients using AWS, Azure, and GCP.
Manage partnerships to grow Anthropic's AI for Science Program, focusing on deploying AI in life sciences research.
Join Anthropic as a Staff+ Software Engineer to build and scale Claude Managed Agents in a rapidly growing team.
Join Cognition as an AI Support Engineer to resolve complex technical issues for customers using AI software in real-world environments.
Lead a team of Applied AI Engineers to develop tools that accelerate biological discovery in life sciences.