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Nebius is seeking a Senior Sales Engineer to act as a technical partner for customers using their AI inference platform. The role involves leading technical discovery, validating PoC architectures, and ensuring that customer AI workloads are scalable and economically viable on their GPU-backed infrastructure.
Senior Sales Engineer at Nebius designs and validates scalable AI inference architectures for enterprise customers, bridging technical feasibility with commercial growth in a global AI cloud platform.
Early-career ML Solutions Architect builds and tests LLM-based applications, benchmarks models, and optimizes inference on a serverless AI platform, learning scalable AI deployment with mentorship from senior architects.
Principal ML Solutions Architect designs and optimizes serverless LLM inference and fine-tuning workflows for enterprise customers, using frameworks like vLLM and TensorRT-LLM on Nebius's AI cloud platform.
Build and evaluate AI agent systems that remain portable across models, providers, and deployment environments, focusing on routing, memory, interoperability, and evaluation.
Builds and deploys AI-powered systems for Tavily’s enterprise clients, bridging technical and business needs across the customer lifecycle. Core focus: RAG pipelines, agent workflows, and API integrations.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
The Forward Deployed Engineer will work with strategic partners to design and build integrations that embed Tavily's search engine into the modern agentic AI stack. This role involves shipping code, creating reference implementations, and collaborating with external engineering teams to drive adoption of Tavily's API.
Security specialist reviews and hardens AI/LLM apps, RAG pipelines, and agent workflows against prompt injection, data leaks, and unsafe tool calls.
Builds and owns Angular-based frontend features and makes targeted backend changes in Python/FastAPI to deliver scalable healthcare and AI-powered treatment-access tools.
THE OPPORTUNITY THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on…
THE OPPORTUNITY We are currently building Watcher, a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. Red-teaming previously sat inside the RS…
About the Team The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can…
About the position: The Software Engineer is responsible for designing, building, and maintaining robust software solutions and AI-enabled workflows that streamline business operations end-to-end. Sitting within our…
Buscamos un/a Senior Python Engineer con sólida experiencia en desarrollo backend y al menos 1 año trabajando con aplicaciones basadas en modelos de lenguaje (LLMs) y frameworks de agentes como LangGraph, LangChain o…
We are looking for an experienced Solution Architect to join our AI Platforms team. In this role, you will be the technical authority on client engagements — translating complex business requirements into robust,…
L'IA générative transforme en profondeur les organisations — mais entre le prototype et l'impact réel, il y a souvent un fossé. Le Forward Deployed Engineer est celui ou celle qui le comble. Chez Sia, le FDE…
Senior engineer at MongoDB helps enterprise customers modernize legacy apps using MongoDB’s data platform and generative AI tooling, while feeding insights back to product teams.
Leads AI product strategy for MongoDB’s internal IT systems, defining roadmaps for AI-driven automation and decision support to improve efficiency and user experience.
This role involves building and leading the development of automated testing and verification frameworks for application and data modernization, leveraging LLMs for test generation and performance validation. The engineer will work with a JVM-based stack to ensure functional equivalence and data integrity for enterprise-scale migrations.
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