{"id":3467182,"url":"https://alion.io/job/cognizant-java-full-stack-ai-engineer","title":"Java Full stack AI engineer","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":87,"open_postings":185,"ghost_share":0.011,"stale_share":0.481,"repost_share":0.054,"time_to_fill_p50_days":22,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Angular","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-29T06:55:46Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-03T23:11:12Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job description:\nWe are looking for a highly skilled AI-Augmented Full Stack Engineer to build and enhance next-generation customer service platforms for the mortgage domain. In this role, you will leverage modern web technologies, microservices architecture, and Generative AI capabilities to deliver intelligent, scalable, and secure customer experiences.\nThis position offers an opportunity to work on cutting-edge AI solutions, including LLMs, Model Context Protocol (MCP), Knowledge Engineering, and Advanced RAG (Retrieval-Augmented Generation) frameworks, while developing enterprise-grade applications used by a global financial services organization.\nPrimary Skills: . GENAI/LLM Fundamentals, Knowledge Engineering for AI RAG Consumption, Advanced RAG Frameworks, Angular 13-18, MCP (Model Context Protocol), GenAI Basics, DB - SQL & No SQL, Microservices, Core Java\nKey Responsibilities:\nDesign and develop modern, responsive front-end applications using Angular 13-18.\nBuild secure, scalable, and high-performing microservices using Core Java.\nIntegrate GenAI-powered solutions into enterprise applications to improve customer and agent experiences.\nDevelop and optimize RAG-based solutions using structured and unstructured data sources.\nImplement MCP (Model Context Protocol) integrations to enable context-aware AI interactions across enterprise systems.\nCreate and maintain knowledge engineering workflows that support AI-driven customer service experiences.\nDesign and optimize data models using SQL and NoSQL databases.\nCollaborate with product owners, business stakeholders, and cross-functional teams to deliver business-critical solutions.\nEnsure system reliability through observability, monitoring, logging, and performance optimization.\nApply security best practices to protect sensitive customer and mortgage-related data.\nParticipate in architecture discussions, code reviews, and technical mentoring activities.\nRequired Experience:\n8-12 years of software development experience in enterprise environments.\nStrong hands-on experience with Angular and modern front-end development practices.\nProven expertise in developing microservices using Core Java.\nExperience working with GenAI/LLM-based applications and AI-powered workflows.\nHands-on exposure to RAG implementations and knowledge retrieval systems.\nStrong understanding of relational and NoSQL databases.\nExperience building scalable, secure, and maintainable 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