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  <jobs>
    <job>
      <externalid>2075095a-d93</externalid>
      <Title>Senior Software Engineer, BizTech(AI Products)</Title>
      <Description><![CDATA[<p><strong>Job Title</strong></p>
<p>Senior Software Engineer, AI Products (India)</p>
<p><strong>Company Overview</strong></p>
<p>Airbnb is a global online marketplace for booking accommodations, with over 5 million hosts and 2 billion guest arrivals.</p>
<p><strong>The Community You Will Join</strong></p>
<p>The Airfam Products team exists to make every Airbnb employee more productive through a unified digital headquarters experience. As part of a 13-person cross-functional team of engineers, designers, researchers, and product managers, you&#39;ll work on platforms that serve Airbnb&#39;s entire global workforce. Our portfolio includes One Airbnb (the company&#39;s internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb&#39;s enterprise AI assistant enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done. You&#39;ll be joining the AI for Non-Developers workstream, focused on expanding AI productivity tools to all Airbnb employees,building OneChat Agents, deep research capabilities, artifact creation tools, and task automation that make AI accessible to everyone, regardless of technical background.</p>
<p><strong>The Difference You Will Make</strong></p>
<p>As a Senior Software Engineer on the Airfam Products team, you&#39;ll be instrumental in building Airbnb&#39;s next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire company,every AI feature you ship, every system you architect, and every engineer you mentor will amplify productivity across Airbnb&#39;s global workforce. You will:</p>
<ul>
<li>Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs</li>
<li>Drive innovation by taking AI prototypes from concept to production at scale</li>
<li>Shape the future of how Airbnb employees work, collaborate, and discover information</li>
</ul>
<p><strong>A Typical Day</strong></p>
<ul>
<li>Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization</li>
<li>Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb&#39;s global workforce</li>
<li>Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making</li>
<li>Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices</li>
<li>Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response</li>
<li>Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs</li>
<li>Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions</li>
<li>Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application</li>
<li>Balance hands-on technical contributions with technical leadership activities</li>
</ul>
<p><strong>Your Expertise</strong></p>
<ul>
<li>8+ years of software engineering experience, with significant focus on building production AI/ML systems</li>
<li>2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)</li>
<li>Strong proficiency in backend technologies (TypeScript, Go, or Java)</li>
<li>Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)</li>
<li>Track record of shipping AI-powered products from prototype to production</li>
<li>Proven ability to collaborate cross-functionally and influence without authority</li>
<li>Excellent communication skills with ability to distill complex technical concepts for diverse audiences</li>
<li>Bachelor&#39;s degree in Computer Science, Engineering, or equivalent practical experience</li>
</ul>
<p><strong>Preferred</strong></p>
<ul>
<li>Master&#39;s or PhD in Computer Science, Machine Learning, or related field</li>
<li>Experience building AI agents and multi-agent systems, preferably using Claude</li>
<li>Experience building integrations using MCP</li>
<li>Experience with containerization and orchestration (Docker, Kubernetes)</li>
<li>Background in building enterprise-grade internal tools and developer productivity platforms</li>
<li>Experience with frontend technologies (React, Next.js) for full-stack AI product development</li>
<li>Contributions to open-source Gen AI/ML projects or publications at top venues</li>
</ul>
<p><strong>Your Location</strong></p>
<p>This position is based in Bangalore, India with a hybrid work arrangement. You&#39;ll collaborate with teammates across global time zones, with primary alignment to Pacific Time for key meetings.</p>
<p><strong>Our Commitment to Inclusion &amp; Belonging</strong></p>
<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>software engineering, production AI/ML systems, Large Language Models (LLMs), backend technologies (TypeScript, Go, or Java), API design (REST, GraphQL), cloud infrastructure (AWS, GCP, or Azure), master&apos;s or PhD in Computer Science, Machine Learning, or related field, experience building AI agents and multi-agent systems, experience building integrations using MCP, experience with containerization and orchestration (Docker, Kubernetes), background in building enterprise-grade internal tools and developer productivity platforms, experience with frontend technologies (React, Next.js) for full-stack AI product development</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Airbnb</Employername>
      <Employerlogo>https://logos.yubhub.co/airbnb.com.png</Employerlogo>
      <Employerdescription>Airbnb is a global online marketplace for booking accommodations, with over 5 million hosts and 2 billion guest arrivals.</Employerdescription>
      <Employerwebsite>https://www.airbnb.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/airbnb/jobs/7730723</Applyto>
      <Location>Bangalore, India</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>f4bfc542-67c</externalid>
      <Title>Applied AI Engineer</Title>
      <Description><![CDATA[<p>As an Applied AI Engineer at Anthropic, you will guide customers from technical discovery through successful deployment of our AI models. You will combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with Large Language Models (LLMs) and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>Responsibilities:</p>
<ul>
<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>
<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>
<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>
<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>
<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>
<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>
<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>
<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>
</ul>
<p>Requirements:</p>
<ul>
<li>4+ years of experience in a technical role such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>
<li>Strong programming skills with proficiency in Python and experience building production applications</li>
<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>
<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>
<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, Large Language Models (LLMs), API, Technical Architecture, Customer Success, Account Management, Technical Workshops, Code Reviews, Design Patterns, AI Product Development</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5055488008</Applyto>
      <Location>Tokyo, Japan</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>c4b4fd54-188</externalid>
      <Title>Forward Deployed Engineer, Applied AI (Federal Civilian)</Title>
      <Description><![CDATA[<p><strong>About the Role:</strong></p>
<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic federal civilian (and, occasionally, state and local) customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.</p>
<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>You will sit at the frontier of government AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>
<p><strong>Core Responsibilities:</strong></p>
<ul>
<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>
<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>
<li>Provide white glove deployment support for Anthropic products in federal government environments.</li>
<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>
<li>Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>
<li>Travel frequently (25-50%) to customer sites to build in person with customers.</li>
<li>Be a champion for Anthropic’s mission in the field.</li>
</ul>
<p><strong>You Might Be a Good Fit If You Have:</strong></p>
<ul>
<li>Security clearance not required, but a plus</li>
<li>Must have prior experience working with US federal civilian, state, or local agencies</li>
<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>
<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>
<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>
<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>
<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>
<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>
<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>
<li>Experience with government IT systems and/or AI deployment patterns is a plus.</li>
</ul>
<p><strong>Logistics</strong></p>
<ul>
<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>
<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>
<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>
<li>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</li>
<li>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before you start working with us.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$280,000 - $320,000 USD</Salaryrange>
      <Skills>Python, LLMs, AI product development stacks, Government IT systems, AI deployment patterns, TypeScript, Java, Prompt engineering, Agent development, Evaluation frameworks</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic&apos;s mission is to create reliable, interpretable, and steerable AI systems. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5079562008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>c00cb2cd-350</externalid>
      <Title>Senior Applied Scientist</Title>
      <Description><![CDATA[<p><strong>Summary</strong></p>
<p>Microsoft AI are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI and search markets.</p>
<p><strong>About the Role</strong></p>
<p>We&#39;re looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web – the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especially RAG System powered by LLMs Generative answers with LLMs Build up the world-class AI systems with novel NLP techniques and engineering excellence. Explore cutting-edge AI technology and deliver both research and production impact.</p>
<p><strong>Accountabilities</strong></p>
<ul>
<li>Drive core technologies and E2E production delivery by leveraging State-of-Art AI technologies.</li>
<li>Address challenges in products through Deep Learning and Reinforcement Learning approaches and transfer novel ideas to production applications.</li>
<li>Develop deep learning models for Microsoft AI scenarios, including generative search and answers, knowledge experience, et al.</li>
<li>Push the envelope on deep learning by: Defining problems and establishing metrics Gathering training data at scale Exploring model design and architecture Exploring learning objectives and tasks.</li>
</ul>
<p><strong>The Candidate we&#39;re looking for</strong></p>
<p><strong>Experience:</strong></p>
<ul>
<li>4+ years of working experience in NLP/search related areas.</li>
</ul>
<p><strong>Technical skills:</strong></p>
<ul>
<li>Experiences in applying deep learning, LLM, RAG techniques and drive E2E AI product development.</li>
</ul>
<p><strong>Personal attributes:</strong></p>
<ul>
<li>Passionate and self-motivated.</li>
<li>Good communication skills, both verbal and written.</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Work from the office at least four days per week.</li>
<li>Health and wellbeing benefits.</li>
<li>Professional development opportunities.</li>
<li>Financial benefits (bonus, equity, pension, etc.).</li>
<li>Cultural perks (team events, office amenities, etc.).</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>deep learning, LLM, RAG techniques, E2E AI product development, NLP/search related areas, problem-solving skills, ability to work independently</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Microsoft AI</Employername>
      <Employerlogo>https://logos.yubhub.co/microsoft.ai.png</Employerlogo>
      <Employerdescription>Microsoft AI Organization aims to provide the best user experience for Web Search, Advertisement, Cloud, and Enterprise services. The Search Experience Group in Microsoft AI has more than 400 scientists and engineers, working on various NLP/Multi-modal techniques and applications.</Employerdescription>
      <Employerwebsite>https://microsoft.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://microsoft.ai/job/senior-applied-scientist-27/</Applyto>
      <Location>Suzhou</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
    <job>
      <externalid>4f9de793-dcf</externalid>
      <Title>Senior Applied Scientist</Title>
      <Description><![CDATA[<p><strong>Summary</strong></p>
<p>Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI and search markets.</p>
<p><strong>About the Role</strong></p>
<p>We&#39;re looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web – the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especially RAG System powered by LLMs Generative answers with LLMs Build up the world-class AI systems with novel NLP techniques and engineering excellence. Explore cutting-edge AI technology and deliver both research and production impact.</p>
<p><strong>Accountabilities</strong></p>
<ul>
<li>Drive core technologies and E2E production delivery by leveraging State-of-Art AI technologies.</li>
<li>Address challenges in products through Deep Learning and Reinforcement Learning approaches and transfer novel ideas to production applications.</li>
<li>Develop deep learning models for Microsoft AI scenarios, including generative search and answers, knowledge experience, et al.</li>
<li>Push the envelope on deep learning by: Defining problems and establishing metrics Gathering training data at scale Exploring model design and architecture Exploring learning objectives and tasks.</li>
</ul>
<p><strong>The Candidate we&#39;re looking for</strong></p>
<p><strong>Experience:</strong></p>
<ul>
<li>4+ years of working experience in NLP/search related areas.</li>
</ul>
<p><strong>Technical skills:</strong></p>
<ul>
<li>Experiences in applying deep learning, LLM, RAG techniques and drive E2E AI product development.</li>
</ul>
<p><strong>Personal attributes:</strong></p>
<ul>
<li>Passionate and self-motivated.</li>
<li>Good communication skills, both verbal and written.</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Work from the office at least four days per week.</li>
<li>Health and wellbeing benefits.</li>
<li>Professional development opportunities.</li>
<li>Financial benefits (bonus, equity, pension, etc.).</li>
<li>Cultural perks (team events, office amenities, etc.).</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>deep learning, LLM, RAG techniques, AI product development, problem-solving skills, ability to work independently</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Microsoft AI</Employername>
      <Employerlogo>https://logos.yubhub.co/microsoft.ai.png</Employerlogo>
      <Employerdescription>Microsoft AI Organization aims to provide the best user experience for Web Search, Advertisement, Cloud, and Enterprise services. The Search Experience Group in Microsoft AI has more than 400 scientists and engineers, working on various NLP/Multi-modal techniques and applications.</Employerdescription>
      <Employerwebsite>https://microsoft.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://microsoft.ai/job/senior-applied-scientist-26/</Applyto>
      <Location>Beijing</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
  </jobs>
</source>