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Rudy Mizrahi Celekli
23876bfa95
* fix(linkedin-search): preserve description paragraph and list breaks Clean rendered description lines separately so whitespace normalization does not erase paragraph and list boundaries in JSON and plain output. Exercise the documented detail CLI against a loopback-served captured response, with field and closed-status controls. Credits: portapulito diagnosed this behavior and supplied the captured guest-response fixture in upstream PR #153, which was closed as an accidental personalized-fork submission. This independent implementation revives only that correctness fix and its fixture evidence. * docs(changelog): record fix for #567
47 lines
3.7 KiB
HTML
47 lines
3.7 KiB
HTML
<h2 class="top-card-layout__title font-sans text-lg papabear:text-xl font-bold leading-open text-color-text mb-0 topcard__title">Agentic AI Engineer - Full remote - Europe</h2>
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<figure class="closed-job closed-job__flavor topcard__flavor-row">
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<span class="closed-job__icon closed-job__icon--error-pebble lazy-load"></span>
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<figcaption class="closed-job__flavor--closed">No longer accepting applications</figcaption>
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</figure>
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<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5
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relative overflow-hidden">
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<p><strong>Agentic AI Engineer - Full remote - Europe</strong></p><p><br></p><p>Our SaaS client based in The Netherlands are in need of a number of AI Engineers who can design, build and deploy agentic systems to their customers.</p><p><br></p><p>This is a hands-on engineering role, focused on turning ideas into fast POCs and then scaling them into production-ready systems.</p><p><br></p><p><u>What you’ll be doing:</u></p><ul><li>Designing and building agentic & multi-agent systems</li><li>Developing high-performance APIs that power AI agents at scale</li><li>Improving agent performance, responsiveness and reliability</li><li>Collaborating closely with Product to deliver quick POCs and iterate fast</li><li>Deploying AI systems into production using the Azure ecosystem</li><li>Making smart technical trade-offs and clearly explaining them to stakeholders</li></ul><p><br></p><p><u>Tech environment:</u></p><ul><li>Python / Kotlin</li><li>Azure (DevOps, backend services, AI services)</li><li>API-driven architectures</li><li>Agentic / multi-agent systems</li><li>Scalable backend & cloud deployments</li></ul><p><br></p><p><u>What we’re looking for:</u></p><ul><li>Strong experience as an AI Engineer / Backend Engineer</li><li>Proven work with agentic or multi-agent systems</li><li>Solid API development experience at scale</li><li>Comfortable deploying and operating systems in Azure</li><li>Able to explain how agents perform, scale and improve particularly with technical and non-technical stakeholders</li><li>Someone who can deliver fast POCs and think long-term</li></ul><p><br></p><p>Location : Fully remote (Europe)</p><p>Duration : 3-month rolling contract</p><p>Headcount : 2</p><p>Rate : €375 - 400 a day</p><p><br></p><p>If this sounds like you, or you know someone who fits, drop me a message and I’ll share more details.</p>
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</div>
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<ul class="description__job-criteria-list">
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<li class="description__job-criteria-item">
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<h3 class="description__job-criteria-subheader">
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Seniority level
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<span class="description__job-criteria-text description__job-criteria-text--criteria">
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Mid-Senior level
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</span>
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</li>
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<li class="description__job-criteria-item">
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<h3 class="description__job-criteria-subheader">
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Employment type
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<span class="description__job-criteria-text description__job-criteria-text--criteria">
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Contract
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</span>
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</li>
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<li class="description__job-criteria-item">
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<h3 class="description__job-criteria-subheader">
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Job function
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<span class="description__job-criteria-text description__job-criteria-text--criteria">
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Information Technology
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</span>
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</li>
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<li class="description__job-criteria-item">
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<h3 class="description__job-criteria-subheader">
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Industries
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</h3>
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<span class="description__job-criteria-text description__job-criteria-text--criteria">
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Technology, Information and Media
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</span>
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</li>
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</ul>
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