…Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages…

…Own the architecture for wide-event data models, high-cardinality storage, and high-throughput ingestion and query pipelines (columnar/streaming). - Craft SDKs & Golden Paths…

…AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action…

…function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s…

…Hands-on exposure to core NVIDIA AI software and SDKs relevant to model builders, including NeMo Framework, NeMo Curator, Nemotron model families, TensorRT-LLM…

…you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward. A builder’s bias…

…independently architect, build, and deploy AI-driven solutions to automate code analysis, optimize triage, and scale Product Security workflows. Security Architecture & Threat Modeling: Lead…

…Strong understanding of the modern AI stack, including LLM-powered applications, retrieval-augmented generation, agents, model serving, and data infrastructure. - Ability to translate technical…

…As part of the Revenue Operations team, you will work directly with Sales, Solutions Architecture, Marketing, and RevOps to find the highest-value opportunities…

…and architectural standards Experience integrating LLMs or ML services into production applications, for example prompt design, retrieval augmented generation, agentic workflows, or model backed…

…metrics, LLM-as-judge evaluation, non-verifiable rewards, and human-in-the-loop evaluation. - A hands-on builder who enjoys training models, running experiments…

…Whether you're architecting scalable GenAI systems or optimizing multi-task recommendation engines, you cut through complexity to find the solutions that deliver the…

…Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages…

…solution architecture, integrations, admin considerations, and deployment approach so customers can confidently evaluate fit Partner closely with existing Asana AEs, CSMs, and core Solutions…

…token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend. Major bonus if you've worked on an LLM gateway…

…infrastructure, developer tools, or platform products. - Familiarity with Postgres — its architecture, operational model, ecosystem, and the tradeoffs teams face running it in production. Bonus…

…A strategic understanding of how Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) systems crawl, parse, and recommend technical enterprise software…

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest…

…Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages…

…Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages…

…Lead the architecture, design and implementation of end-to-end search solutions, from understanding natural language queries to developing and deploying machine learning models…

…You will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the…

…This is a hands-on, builder-focused role: you'll work directly with GTM leaders and reps to understand where time and efficiency are…

…teams, turning ambiguous product and platform opportunities into durable technical solutions. - Shape the architecture for how datasets, applications, semantic assets, and agentic capabilities are…

…AI Solutioning & Positioning: Understand and clearly explain core AI/LLM concepts (prompting, agents, model context/tooling) to both technical and business audiences without over…