Job description:
We 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.
This 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.
Primary 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
Key Responsibilities:
- Design and develop modern, responsive front-end applications using Angular 13-18.
- Build secure, scalable, and high-performing microservices using Core Java.
- Integrate GenAI-powered solutions into enterprise applications to improve customer and agent experiences.
- Develop and optimize RAG-based solutions using structured and unstructured data sources.
- Implement MCP (Model Context Protocol) integrations to enable context-aware AI interactions across enterprise systems.
- Create and maintain knowledge engineering workflows that support AI-driven customer service experiences.
- Design and optimize data models using SQL and NoSQL databases.
- Collaborate with product owners, business stakeholders, and cross-functional teams to deliver business-critical solutions.
- Ensure system reliability through observability, monitoring, logging, and performance optimization.
- Apply security best practices to protect sensitive customer and mortgage-related data.
- Participate in architecture discussions, code reviews, and technical mentoring activities.
Required Experience:
- 8-12 years of software development experience in enterprise environments.
- Strong hands-on experience with Angular and modern front-end development practices.
- Proven expertise in developing microservices using Core Java.
- Experience working with GenAI/LLM-based applications and AI-powered workflows.
- Hands-on exposure to RAG implementations and knowledge retrieval systems.
- Strong understanding of relational and NoSQL databases.
- Experience building scalable, secure, and maintainable applications.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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