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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c952dc65-160"},"title":"AI Machine Learning Engineer: AI Shopping Agents","description":"<p><strong>About Us</strong></p>\n<p>Constructor is a U.S. based company that has been in the market since 2019, building a next-generation platform for search and discovery in ecommerce. Its search engine is entirely invented in-house, utilizing transformers and generative LLMs, and powers over 1 billion queries every day across 150 languages and roughly 100 countries.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions</li>\n<li>Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing</li>\n<li>Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations</li>\n<li>Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems</li>\n<li>Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features</li>\n<li>Improve the speed, quality, and efficiency of our AI systems and engineering processes</li>\n<li>Take ownership of systems and designs from conception through to deployment and maintenance</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP</li>\n<li>Excellent skills in delivering and communicating business value</li>\n<li>Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions</li>\n<li>Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)</li>\n<li>Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus</li>\n<li>Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)</li>\n<li>Solid understanding of ML evaluation methodologies and key IR metrics</li>\n<li>Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks</li>\n</ul>\n<p><strong>Tech Stack</strong></p>\n<ul>\n<li>Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph</li>\n<li>Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS</li>\n<li>Cloud &amp; MLOps: AWS, Databricks, Ray</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>\n<li>Fully remote team - choose where you live</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</li>\n<li>This position has a base salary range between $80k and $120k USD.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c952dc65-160","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/D15079EEBA","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$80k - $120k USD","x-skills-required":["Python","SQL","big data stack","Information Retrieval (IR) techniques","Retrieval-Augmented Generation (RAG)","automatic prompt optimization techniques"],"x-skills-preferred":["DSPy"],"datePosted":"2026-03-09T10:57:19.254Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oregon"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, big data stack, Information Retrieval (IR) techniques, Retrieval-Augmented Generation (RAG), automatic prompt optimization techniques, DSPy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}}]}