…consulting in applications and infrastructures experience - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking…

…findings effectively through documentation, presentations, and technical papers. - Work in an agile environment and collaborate closely with software engineers to bring science solutions from…

…architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices. Nice to Have Specialization in search and retrieval at scale — RAG…

…prompt engineering, structured outputs, and model evaluation in production settings. Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval…

…and skills Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience delivering system design, application…

…alongside software engineers, data engineers and data scientists to take ideas from prototype to production. Pleo has over 40,000 customers and a decade…

…Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB Customer Advising and Value Articulation: Guide customers…

…WHAT YOU'LL DO As an Senior Software Engineer, you own both the technical direction and the day-to-day execution of the regulatory…

…Develop prompt engineering strategies and retrieval-augmented systems (RAG) that make internal image and metadata corpora accessible and actionable to partner teams. Leverage AI…

…applications, settings, and actions they need with speed, relevance, and delight? The Windows Shell & Services team is looking for a Principal Software Engineer to…

…Experience building advanced LLM applications using Retrieval-Augmented Generation (RAG), vector databases, semantic search, AI agents, and production-grade evaluation and guardrails. Experience integrating…

…closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You…

…Solid foundation in software engineering principles, including clean code, debugging, testing, and problem‑solving. AI‑Enabled Application Development Hands‑on experience integrating AI capabilities…

…This includes everything from building a recommendation engine that combines transcript-aware planning, structured filters, and semantic and keyword search to payment and order…

…Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result…

…Ability to navigate cross-team dynamics between ML engineering, data engineering, software engineering, and business operations teams. Ability to balance requirements across engineering, design…

…Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning…

…and/or observability — the solution areas where our partner business is growing fastest — plus an understanding of AI and semantic search technologies (RAG, vector…

…You will Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB Customer Advising and Value Articulation…

…agents) and intuition for model strengths, failure modes, and prompting limits. - Background in data engineering (dbt, Airflow), data modeling, analytics, retrieval / RAG, or semantic…

…and evaluating Retrieval-Augmented Generation (RAG) architectures for enterprise-scale AI applications, focusing on accuracy, latency, recall, precision, and scalability; Developing hybrid search pipelines…

…Shape the architecture for AI-powered applications, including retrieval, context assembly, tool execution, memory, and model orchestration, in partnership with ML teams. Establish engineering…

…software engineering background with hands-on experience in AI frameworks, cloud environments, and domains such as ML, NLP, IR, recommender systems, and LLMs and…

…AI & Search Domain Fluency: Deep understanding of the modern AI tech stack, including vector databases, hybrid search infrastructure, LLMs, retrieval-augmented generation (RAG), and…

…Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB Customer Advising and Value Articulation: Guide customers…