Qdrant Jobs
3 open roles mentioning Qdrant
Forward Deployed Engineer, Ecosystem - Tavily
Nebius
Nebius is a leading AI cloud platform provider, supporting developers and enterprises from data training to production deployment. Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to trustworthy web content. The Forward Deployed Engineering team at Tavily focuses on technical partnerships across the AI ecosystem, including model providers, agent frameworks, and infrastructure companies. This role involves working directly with strategic partners to design, build, and launch solutions that integrate Tavily into the agent stack, acting as both a builder and a technical partner to ship code, influence product direction, and help Tavily become the default search and web access layer for agentic applications.
$113k - $184k
Forward Deployed Engineer, Enterprise - Tavily
Nebius
Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to high-quality web content. As a Forward Deployed Engineer, Enterprise, you will work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You will own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. This is a full-time, on-site role based in our New York office.
$180k - $224k
Software Engineer
Credal.ai
Credal is seeking a founding web full-stack software engineer to help build a scalable, performant architecture while maintaining industry-leading security. This role involves owning aspects of stability, scalability, and security, ensuring reliable syncing of billions of records, and contributing to architecture and code quality. You will engage directly with customers to solve complex problems, mentor junior engineers, and take end-to-end ownership of core products. The ideal candidate is a versatile software engineer comfortable across the full stack, excited about Agentic AI/LLM applications, and possesses strong software engineering fundamentals.
$190k - $250k
