{"id":3446592,"url":"https://alion.io/job/zensar-technologies-ui-engineer-ai","title":"UI Engineer + AI","company":{"id":59576,"name":"Zensar Technologies","domain":"zensar.com","url":"https://alion.io/company/zensar-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":73,"ghost_share":0.137,"stale_share":0.055,"repost_share":0.452,"time_to_fill_p50_days":5,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Frontend","role_family":"Frontend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Hyderabad, India","Chennai, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bootstrap","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Material UI","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Sass","optional":false},{"name":"Scrum","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"Copilot","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-29T05:22:25Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T02:17:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary\nWe are seeking a highly skilled UI Engineer with AI expertise to build intelligent, user-centric web applications powered by AI/GenAI capabilities. The ideal candidate will combine strong front-end engineering skills with experience integrating AI/ML and Generative AI solutions into modern digital products. This role involves collaborating with Product Managers, UX Designers, Data Scientists, and Backend Engineers to create next-generation AI-driven user experiences.\nKey Responsibilities\nUI Engineering\nDesign and develop responsive, scalable, and high-performance web applications.\nBuild reusable UI components and front-end frameworks.\nCollaborate with UX Designers to translate designs into pixel-perfect interfaces.\nOptimize applications for performance, accessibility, and cross-browser compatibility.\nImplement state management and component-driven architectures.\nAI & GenAI Integration\nIntegrate LLMs and Generative AI solutions into web applications.\nDevelop AI-powered features such as chatbots, copilots, recommendation engines, and intelligent search.\nBuild and consume AI/ML APIs and services.\nWork with prompt engineering, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.\nCollaborate with Data Science teams to deploy and monitor AI-powered experiences.\nCollaboration & Delivery\nParticipate in architecture discussions and technology selection.\nCollaborate with backend teams to design and integrate RESTful APIs and microservices.\nConduct code reviews and enforce development best practices.\nParticipate in Agile/Scrum ceremonies and delivery activities.\nRequired Technical Skills\nFront-End Development\nReact.js / Next.js\nTypeScript\nJavaScript (ES6+)\nHTML5\nCSS3 / SCSS\nResponsive Web Design\nMaterial UI, Tailwind CSS, Bootstrap\nAI & GenAI\nOpenAI, Azure OpenAI, Anthropic Claude, Gemini\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nLangChain / LangGraph\nAI Agent Frameworks\nVector Databases (Pinecone, ChromaDB, FAISS)\nAI Model Integration via APIs\nBackend & APIs\nNode.js / Python\nREST APIs\nGraphQL\nMicroservices Architecture\nCloud & DevOps\nAzure, AWS, or GCP\nDocker\nKubernetes\nCI/CD Pipelines\nGitHub Actions / Jenkins\nDatabases\nMongoDB\nPostgreSQL\nMySQL\nRedis\nPreferred Skills\nExperience building AI Assistants, Chatbots, or Copilot solutions.\nKnowledge of Machine Learning concepts and NLP.\nFamiliarity with AI observability and model monitoring.\nExperience with Azure AI Foundry, Azure Cognitive Services, or AWS Bedrock.\nUnderstanding of MLOps concepts and deployment pipelines.\nExposure to multimodal AI applications (text, image, voice).\nQualifications\nBachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or related fields.\n5+ years of experience in UI/Front-End development.\n2+ years of experience working with AI/GenAI technologies.\nStrong problem-solving and software engineering skills.\nKey Competencies\nFront-End Architecture\nAI/GenAI Product Development\nUser-Centric Design Mindset\nProblem Solving & Innovation\nSystem Design & Integration\nStakeholder Collaboration\nCommunication & Presentation Skills\nContinuous Learning\nNice to Have\nExperience with AI Agents and Multi-Agent Systems.\nFamiliarity with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO).\nKnowledge of Web Accessibility (WCAG).\nExperience with Retail, eCommerce, or Customer Experience platforms.\nAI-related certifications from Microsoft, AWS, Google, or OpenAI ecosystem.\nCertifications (Preferred)\nMicrosoft Certified: Azure AI Engineer Associate\nMicrosoft Applied Skills: Build Generative AI Solutions\nAWS Certified Machine Learning Specialty\nGoogle Professional Machine Learning Engineer\nReact Professional Certification\n Key Responsibilities\nUI Engineering\nDesign and develop responsive, scalable, and high-performance web applications.\nBuild reusable UI components and front-end frameworks.\nCollaborate with UX Designers to translate designs into pixel-perfect interfaces.\nOptimize applications for performance, accessibility, and cross-browser compatibility.\nImplement state management and component-driven architectures.\nAI & GenAI Integration\nIntegrate LLMs and Generative AI solutions into web applications.\nDevelop AI-powered features such as chatbots, copilots, recommendation engines, and intelligent search.\nBuild and consume AI/ML APIs and services.\nWork with prompt engineering, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.\nCollaborate with Data Science teams to deploy and monitor AI-powered experiences.\nCollaboration & Delivery\nParticipate in architecture discussions and technology selection.\nCollaborate with backend teams to design and integrate RESTful APIs and microservices.\nConduct code reviews and enforce development best practices.\nParticipate in Agile/Scrum ceremonies and delivery activities.\nRequired Technical Skills\nFront-End Development\nReact.js / Next.js\nTypeScript\nJavaScript (ES6+)\nHTML5\nCSS3 / SCSS\nResponsive Web Design\nMaterial UI, Tailwind CSS, Bootstrap\nAI & GenAI\nOpenAI, Azure OpenAI, Anthropic Claude, Gemini\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nLangChain / LangGraph\nAI Agent Frameworks\nVector Databases (Pinecone, ChromaDB, FAISS)\nAI Model Integration via APIs\nBackend & APIs\nNode.js / Python\nREST APIs\nGraphQL\nMicroservices Architecture\nCloud & DevOps\nAzure, AWS, or GCP\nDocker\nKubernetes\nCI/CD Pipelines\nGitHub Actions / Jenkins\nDatabases\nMongoDB\nPostgreSQL\nMySQL\nRedis\nPreferred Skills\nExperience building AI Assistants, Chatbots, or Copilot solutions.\nKnowledge of Machine Learning concepts and NLP.\nFamiliarity with AI observability and model monitoring.\nExperience with Azure AI Foundry, Azure Cognitive Services, or AWS Bedrock.\nUnderstanding of MLOps concepts and deployment pipelines.\nExposure to multimodal AI applications (text, image, voice).\nQualifications\nBachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or related fields.\n5+ years of experience in UI/Front-End development.\n2+ years of experience working with AI/GenAI technologies.\nStrong problem-solving and software engineering skills.\nKey Competencies\nFront-End Architecture\nAI/GenAI Product Development\nUser-Centric Design Mindset\nProblem Solving & Innovation\nSystem Design & Integration\nStakeholder Collaboration\nCommunication & Presentation Skills\nContinuous Learning\nNice to Have\nExperience with AI Agents and Multi-Agent Systems.\nFamiliarity with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO).\nKnowledge of Web Accessibility (WCAG).\nExperience with Retail, eCommerce, or Customer Experience platforms.\nAI-related certifications from Microsoft, AWS, Google, or OpenAI ecosystem.\nCertifications (Preferred)\nMicrosoft Certified: Azure AI Engineer Associate\nMicrosoft Applied Skills: Build Generative AI Solutions\nAWS Certified Machine Learning Specialty\nGoogle Professional Machine Learning Engineer\nReact Professional 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