12 of 12 Remote/Hybrid Information Retrieval Jobs

upward mobility Competitive compensation Lucrative Equity Great healthcare benefits Job Details We're seeking a Senior AI Systems Engineer with deep expertise in RAG, information retrieval, and LLM context engineering. This position focuses on LLMS receive the right information, in the right format, at the right time. … take technical ownership of the systems responsible for identifying relevant information, retrieving it efficiently, and constructing high-quality context for downstream language models. The ideal candidate has built and optimized these systems in production, and understands the limitations of modern LLMs. What You'll Do Design and Optimize Retrieval ...

quick. Great products reflect the teams that build them. The ideal candidate has deep experience designing and building agent harnesses, evals, developer tools, context retrieval, and has worked on one or more of information retrieval, knowledge or context systems, developer platforms, or production generative-AI applications. … implement, test, ship, and operate high-quality technical solutions that scale across GitHub services and Copilot experiences. Develop platform capabilities and APIs for context retrieval, sessions, memory, agent customization, evaluation, and feedback-driven improvement. Turn ambiguous customer and product opportunities into clear technical strategies, architecture proposals, experiments, and executable ...

enabled application from the inside out. This is a genuinely hands-on engineering role at the cutting edge of generative AI, agentic systems and Retrieval-Augmented Generation (RAG) — solving the hard, interesting problems around AI orchestration, information retrieval and grounding that most engineers only get to read … Python. Build and evolve agentic workflows and AI orchestration using LangGraph and LangChain. Develop scalable APIs and backend services using FastAPI. Design and implement Retrieval-Augmented Generation (RAG) pipelines that combine LLMs with enterprise knowledge and data sources. Work on retrieval strategies including vector, metadata and graph-based ...

ready solutions.ResponsibilitiesDesign, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using … deploy solutions at scale.Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.RequirementsPractical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied ...

professional services industries? Document understanding is a foundational intelligence layer that powers every major capability across our legal AI platform—from search and information extraction to agentic reasoning in products like Westlaw, PracticalLaw, and CoCounsel. You'll build state-of-the-art semantic chunking, document enrichment, and knowledge graph … while advancing the capabilities that enable the next generation of intelligent legal AI agents. You will work across semantic chunking, document enrichment, intelligent classification, information extraction, knowledge graph construction, and tabular data understanding for complex legal, tax, and accounting content. This work forms the foundation for downstream search, retrieval ...

agents — and search is at the heart of it. As GitHub's lexical and semantic code search engine, Blackbird powers context retrieval for business-critical experiences across the platform and our Copilot products, including Cloud Agent, Code Review, Copilot CLI, and VS Code. We're looking for a Staff … limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or PythonOR equivalent experience. Preferred Qualifications: Experience building or operating web-scale search, information retrieval, or context retrieval systems. Expertise with systems programming languages — ideally Rust. Experience designing or integrating AI/ML-powered features into production ...

from every scientific discipline.Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI.Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation.Build … work in the day to help you fit everything in and work when you are the most productiveAbout the BusinessA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage ...

production ready delivery. You're an expert in any of the following areas - deep expertise in one and familiarity with others is ideal: Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation ...

available, distributed production systems. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers … bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific ...

product moving forward. This role will be based remotely in Barcelona, Spain. As an ideal candidate, you will have3+ years of search or information retrieval expertise (Elasticsearch, Lucene, Solr, Algolia, Milvus, Qdrant, or similar) 3+ years of software development experience or pre-sales experience with enterprise softwareExcellent communication ...

enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.Elastic has seen significant growth … technology and knowledge and proficient in at least one programming languageHands-on experience with large distributed systems from an architecture and development perspectiveKnowledge of information retrieval and/or analytics domainThe nature of the work that you will be doing will require a high percentage of work onsite ...

agents — and search is at the heart of it. As GitHub's lexical and semantic code search engine, Blackbird powers context retrieval for business-critical experiences across the platform and our Copilot products, including Cloud Agent, Code Review, Copilot CLI, and VS Code. We're looking for a Senior … engineering practices and processes with solid understanding of testing principles and high-quality software. 2+ years experience in systems programming, search index internals and information retrieval. Prior experience solving problems with large-scale, distributed systems is preferred.GitHub valuesCustomer-obsessedShip to learnGrowth mindsetOwn the outcomeBetter togetherDiverse and inclusiveManager fundamentalsModelCoachCareLeadership principlesCreate ...