search experience engineer

black.ai

Job Description <p><b>Join the team redefining how the world experiences design.</b></p> <p>Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.</p> Where and how you can work <p>Our flagship campus is in Sydney. We also have a campus in Melbourne and co working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work - we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.</p> What you'd be doing in this role <p>As Canva scales, change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you a flavour of the type of things you'll be working on when you start, but this will likely evolve.</p> At the moment, this role is focused on: <ul> <li>Leading our Search Experience frontend team to deliver world class search functionality across Canva</li> <li>Setting the technical vision and direction for how users explore, filter and interact with search results</li> <li>Partnering closely with Product, Design, and Backend to ship seamless and scalable search experiences</li> <li>Contributing hands on to major architectural initiatives and mentoring engineers by example</li> <li>Driving enhancements like ML powered interactions, contextual result surfacing, and advanced filtering</li> <li>Supporting and growing a high performing team focused on performance, accessibility and user delight</li> </ul> You're probably a match if: <ul> <li>You're an experienced frontend engineer with deep knowledge of modern frameworks (React or similar)</li> <li>You've led teams or coached frontend engineers and enjoy developing people as much as products</li> <li>You're excited about crafting search systems that feel fast, intuitive and magical to users</li> <li>You're strategic, hands on, and love balancing quality with delivery</li> <li>You have a strong product mindset and thrive in cross functional environments</li> </ul> About the team <p>You'll join the <b>Search Experience team</b> in the <b>Global Content & Discovery Supergroup</b>. We're on a mission to help every user effortlessly find the content that empowers them to design. Whether it's billions of templates, images, videos or designs - we make it discoverable. Our impact spans inspiration to creation, and we're scaling fast.</p> What's in it for you? <p>Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connection and fun woven throughout life at Canva.</p> <p>Here's a taste of what's on offer:</p> <ul> <li>Equity packages - we want our success to be yours too</li> <li>Inclusive parental leave policy that supports all parents &omers & carers</li> <li>An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more</li> <li>Flexible leave options that empower you to be a force for good, take time to recharge, and support you personally</li> </ul> <p>Check out for more info.</p>

Engineering Manager (FE) - Search Experience (Remote ANZ)

Divit Techologies

<p><b>seeking a Principal Search Engineer with deep expertise in Java, Elasticsearch, and Solr to drive the development and optimization of our search and discovery platform. This role focuses on eCommerce search, product relevance ranking, and personalized search experiences to enhance user engagement and conversion rates. You will work with large-scale search architectures, apply machine learning techniques for relevance tuning, and collaborate with data scientists, product teams, and engineers to improve search performance and ranking models.</b></p><ul><li>Architect, design, and implement scalable search solutions using Elasticsearch, Solr, and Java for eCommerce platforms.</li><li>Develop product relevance ranking algorithms, leveraging machine learning, NLP, and search tuning techniques.</li><li>Optimize query performance, indexing strategies, and ranking models to enhance search accuracy and speed.</li><li>Implement semantic search, personalized recommendations, and dynamic ranking models to improve user experience.</li><li>Work with clickstream data, behavioral analytics, and A/B testing to measure and improve search effectiveness.</li><li>Collaborate with data scientists and engineers to integrate AI-driven search enhancements into the platform.</li><li>Enhance facet filtering, auto-suggestions, synonym handling, and search result diversification for better user engagement.</li><li>Monitor search performance, troubleshoot issues, and implement improvements to support business growth.</li><li>Stay up to date with the latest advancements in search technologies, NLP, vector search, and eCommerce trends.14+ years of experience in search engineering, with a strong focus on Elasticsearch, Solr, and Java.</li><li>Proven experience in eCommerce search, product relevance ranking, and personalized search experiences.</li><li>Expertise in query understanding, ranking signals, boosting strategies, and dynamic ranking models.</li><li>Experience with vector search, NLP, and machine learning-based search optimizations.</li><li>Deep knowledge of distributed search architectures, indexing, and scaling strategies.</li><li>Strong understanding of RESTful APIs, microservices, and cloud-based search deployments (AWS, Google Cloud Platform, or Azure).Familiarity with big data processing frameworks (Spark, Kafka) and logging tools for search analytics.</li><li>Experience with A/B testing and search metric evaluation (CTR, MRR, NDCG, recall/precision).Strong problem-solving skills, with the ability to diagnose and optimize complex search performance issues.</li></ul><p>Job Type: Full-time</p><p>Pay: From &#8377;2,500,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: Remote</p>

Senior Principal Search Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>
Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
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<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div><div><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
<p>
 <b>Location: Hyderabad</b></p>
<p><b>
Qualification: B. Tech</b></p><br>
<p></p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>375429</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

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Engineering Manager (FE) - Search Experience (Remote ANZ)

Engineering Manager (FE) - Search Experience (Remote ANZ)

Engineering Manager (FE) - Search Experience (Remote ANZ)

Engineering Manager (FE) - Search Experience (Remote ANZ)

Engineering Manager (FE) - Search Experience (Remote ANZ)

Senior Principal Search Engineer

Generative AI