Java full stack AI Engineer

Cognizant; Hyderabad, Bengaluru, Delhi; In loco; INR 900.000 - 1.700.000; Tempo pieno

Descrizione del lavoro

Cognizant is seeking an AI-Augmented Full Stack Engineer to build and enhance next-generation customer service platforms for the mortgage domain. You will leverage Angular, microservices, and Generative AI capabilities to deliver intelligent, scalable, and secure experiences for customers and agents.

You will work on cutting-edge AI solutions including LLMs, Model Context Protocol, Knowledge Engineering, and advanced RAG frameworks while developing enterprise-grade applications used by a global

Competenze

• 8–12 years of software development experience in enterprise environments.
• Hands-on Angular and modern frontend development.
• Proven microservices experience using Core Java.
• Experience 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.

Mansioni

• 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.

Conoscenze

Angular

Core Java

GenAI/LLMs

RAG systems

SQL/NoSQL

Security

Observability

Descrizione del lavoro

We are looking for a 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 Conte

xt Protocol (MCP), Knowledge Engineering, and Advanced RAG (Retrieval-Augmented Generation) frameworks, while developing enterprise-grade applications used by a global financial services organization.

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.

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.