Glance is an Android lock‑screen platform that delivers localized media, news, short‑form video, games and commerce, using AI-driven personalization and handset OEM pre‑installs to surface content and shopping.
<div class="content-intro"><p data-start="272" data-end="669">Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment.</p> <p data-start="272" data-end="669">Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.</p> <p data-start="671" data-end="1119">With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites.</p> <p data-start="671" data-end="1119">Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital.</p></div><h2 data-start="0" data-end="30">🎓 Minimum Qualifications</h2> <ul data-start="32" data-end="263"> <li data-start="32" data-end="86"> <p data-start="34" data-end="86">B.Tech/M.Tech in Computer Science or related field</p> </li> <li data-start="87" data-end="135"> <p data-start="89" data-end="135">5–8+ years of backend development experience</p> </li> <li data-start="136" data-end="194"> <p data-start="138" data-end="194">Proven ownership of scalable, production-grade systems</p> </li> <li data-start="195" data-end="263"> <p data-start="197" data-end="263">Experience leading technical initiatives and mentoring engineers</p> </li> </ul> <hr data-start="265" data-end="268"> <h2 data-start="270" data-end="314">🛠 Core Technical Skills & Competencies</h2> <ul data-start="316" data-end="964"> <li data-start="316" data-end="404"> <p data-start="318" data-end="404">Strong proficiency in backend technologies (Node.js/TypeScript, Java, Go, or Python)</p> </li> <li data-start="405" data-end="458"> <p data-start="407" data-end="458">Expertise in designing scalable REST/GraphQL APIs</p> </li> <li data-start="459" data-end="545"> <p data-start="461" data-end="545">Strong system design knowledge (distributed systems, scalability, fault tolerance)</p> </li> <li data-start="546" data-end="651"> <p data-start="548" data-end="651">Advanced experience with relational databases (PostgreSQL/MySQL) and NoSQL (Redis, MongoDB, DynamoDB)</p> </li> <li data-start="652" data-end="725"> <p data-start="654" data-end="725">Performance tuning, caching strategies, and large-scale data handling</p> </li> <li data-start="726" data-end="817"> <p data-start="728" data-end="817">Hands-on experience with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and CI/CD</p> </li> <li data-start="818" data-end="893"> <p data-start="820" data-end="893">Experience with event-driven architecture and background job processing</p> </li> <li data-start="894" data-end="964"> <p data-start="896" data-end="964">Strong understanding of security best practices (OAuth, JWT, RBAC)</p> </li> </ul> <hr data-start="966" data-end="969"> <h2 data-start="971" data-end="1020">🤖 AI Engineering (Good to Have / Preferred)</h2> <ul data-start="1022" data-end="1510"> <li data-start="1022" data-end="1110"> <p data-start="1024" data-end="1110">Experience integrating LLM APIs (OpenAI, Vertex AI, Anthropic) into backend services</p> </li> <li data-start="1111" data-end="1197"> <p data-start="1113" data-end="1197">Basic understanding of embeddings and vector databases (Pinecone, Weaviate, FAISS)</p> </li> <li data-start="1198" data-end="1242"> <p data-start="1200" data-end="1242">Familiarity with RAG-based architectures</p> </li> <li data-start="1243" data-end="1307"> <p data-start="1245" data-end="1307">Experience building AI-powered APIs with streaming responses</p> </li> <li data-start="1308" data-end="1371"> <p data-start="1310" data-end="1371">Awareness of AI cost control, rate limiting, and monitoring</p> </li> <li data-start="1372" data-end="1438"> <p data-start="1374" data-end="1438">Exposure to AI orchestration frameworks (LangChain or similar)</p> </li> <li data-start="1439" data-end="1510"> <p data-start="1441" data-end="1510">Understanding of AI evaluation and prompt optimization fundamentals</p> </li> </ul> <hr data-start="1512" data-end="1515"> <h2 data-start="1517" data-end="1552">📊 Observability & Reliability</h2> <ul data-start="1554" data-end="1750"> <li data-start="1554" data-end="1638"> <p data-start="1556" data-end="1638">Hands-on with Prometheus, Grafana, Datadog, ELK stack, OpenTelemetry, CloudWatch</p> </li> <li data-start="1639" data-end="1687"> <p data-start="1641" data-end="1687">Experience defining and monitoring SLAs/SLOs</p> </li> <li data-start="1688" data-end="1750"> <p data-start="1690" data-end="1750">Strong incident management and production debugging skills</p> </li> </ul> <hr data-start="1752" data-end="1755"> <h2 data-start="1757" data-end="1787">🧠 Ownership Expectations</h2> <ul data-start="1789" data-end="1968" data-is-last-node="" data-is-only-node=""> <li data-start="1789" data-end="1844"