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You&#39;re comfortable with ambiguity, can partner with PMs to shape direction, and know how to translate research insights into production-ready interfaces, working closely with engineers.</p>\n<p><strong>The Team</strong></p>\n<p>Our AI Agent Tools team is building a new category of e-commerce experience: intelligent agents that guide shoppers, learn from merchandiser expertise, and drive real business outcomes.</p>\n<p><strong>Responsibilities</strong></p>\n<p>You&#39;ll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI.</p>\n<ul>\n<li>You&#39;ll define what agentic shopping looks like , Not just chatbots bolted onto search, but genuinely new interaction patterns where AI understands what a shopper wants and helps them get there.</li>\n</ul>\n<ul>\n<li>You&#39;ll shape how merchandisers control it , You will collaborate with Agent Orchestrators,professionals blending data analysis, design, and shopper psychology,to design the dashboard tools that allow them to configure, train, and optimize new shopping journeys without engineering support.</li>\n</ul>\n<ul>\n<li>You&#39;ll prove it works in the real world , From running UI experiments on live retailer sites to validating new shopping experiences with actual shopper data, your designs ship and get measured.</li>\n</ul>\n<p><strong>What You&#39;ll Own</strong></p>\n<ul>\n<li>Research &amp; validation , Conducting shopper research and running experiments alongside product and data teams to validate hypotheses with real input.</li>\n</ul>\n<ul>\n<li>Interaction design for agentic experiences , Mapping novel user flows where AI/LLMs drive the shopping journey, for both shoppers and the merchandisers who orchestrate them.</li>\n</ul>\n<ul>\n<li>Visual strategy , Defining a bold design direction that represents what product discovery looks like in 2027.</li>\n</ul>\n<ul>\n<li>High-fidelity delivery , Producing final mockups and assets across key surfaces: homepage, search, PDP, filtering, guided shopping, and agent configuration.</li>\n</ul>\n<ul>\n<li>UX patterns , Ensuring designs scale within Constructor’s evolving design system and component library.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Work with smart and empathetic people who will help you grow and make a meaningful impact.</li>\n</ul>\n<ul>\n<li>Regular team offsite events to connect and collaborate.</li>\n</ul>\n<ul>\n<li>Fully remote team - choose where you live.</li>\n</ul>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.</li>\n</ul>\n<ul>\n<li>Work from home stipend! 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We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.</li>\n<li>Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features</li>\n<li>Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact</li>\n<li>Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches</li>\n<li>Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Experience building backend services and working with microservices or service-oriented architectures</li>\n<li>Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences</li>\n<li>Strong software engineering fundamentals, including system design and API development</li>\n<li>Hands-on experience building and shipping LLM-powered products, iterating with real user feedback</li>\n<li>Practical experience with prompt engineering, fine-tuning, RAG, semantic search (vector databases and embeddings), agent orchestration frameworks, and evaluation/monitoring of open-ended tasks</li>\n<li>Experience building GenAI-powered product experiences, including streaming/SSE and common UX patterns</li>\n<li>Strong debugging and production monitoring experience</li>\n<li>Ability to deeply understand customer needs through user research and rapid experimentation; comfortable operating as a technical PM when needed</li>\n<li>Ability to balance divergent exploration with pragmatic execution, especially in 0 to 1 environments</li>\n<li>Deep curiosity and passion for building GenAI applications</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience training and deploying ML models in production, including fine-tuning LLMs for domain-specific use cases</li>\n<li>Comfortable operating in privacy- and PII-sensitive environments, with experience applying appropriate compliance and data protection controls</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_7d9b8590-1c7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/0afb2b7b-7e54-40e4-a8f6-642ac1df00f6","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$209,880-$315,480 per year","x-skills-required":["backend services","microservices","service-oriented architectures","HTML","CSS","JavaScript","modern frontend frameworks","LLM-powered products","prompt engineering","fine-tuning","RAG","semantic search","agent orchestration frameworks","evaluation/monitoring of open-ended tasks","GenAI-powered product experiences","streaming/SSE","common UX patterns","debugging","production monitoring"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:51:25.836Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"backend services, microservices, service-oriented architectures, HTML, CSS, JavaScript, modern frontend frameworks, LLM-powered products, prompt engineering, fine-tuning, RAG, semantic search, agent orchestration frameworks, evaluation/monitoring of open-ended tasks, GenAI-powered product experiences, streaming/SSE, common UX patterns, debugging, production monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":209880,"maxValue":315480,"unitText":"YEAR"}}}]}