Java Angular with AI-Software Engineer

Cognizant; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Cognizant is hiring an AI-augmented software engineer in Bengaluru to build secure, scalable mortgage service platforms using Angular microservices and ASP.Net Core/Java backends. You will orchestrate GenAI solutions and RAG frameworks to enhance agent productivity and customer self-service experiences.

Role requires 8–12 years of software engineering in financial services, with strong Angular, microservices, and GenAI skills in a hybrid work setting.

Qualifications

• Experience building enterprise web apps with Angular and microservices.
• Hands-on with GenAI/LLM fundamentals and RAG frameworks.
• Domain expertise in mortgage customer service and financial services compliance.

Responsibilities

• Design responsive front end applications using Angular 13–18 to deliver intuitive mortgage customer journeys.
• Develop secure microservices with ASP.Net Core or Core Java for high-volume interactions.
• Integrate Model Context Protocol with existing components to orchestrate GenAI-assisted flows.
• Build retrieval augmented generation pipelines combining SQL and NoSQL data for accurate responses.
• Engineer GenAI/LLM solutions with prompts, safety constraints, and monitoring hooks.
• Cure and version mortgage knowledge assets for AI RAG consumption.
• Create scalable data access layers for mortgage profiles and servicing events.
• Collaborate with product owners and operations to translate journeys into solutions.
• Implement observability across microservices and AI components for reliability.
• Apply secure coding practices ensuring authentication and data retention compliance.
• Lead code reviews and knowledge sharing for AI augmented applications.
• Optimize performance by profiling and tuning queries and caching strategies.
• Coordinate automated testing, deployment, and rollback for AI components.

Skills

Angular

MCP

GenAI Fundamentals

GenAI Basics

Knowledge Engineering for AI

RAG Consumption

Advanced RAG Frameworks

SQL & NoSQL

Microservices

ASP.Net Core

Java

Mortgage Customer Service

Job description

Job Summary

AI augmented software engineer role focused on building secure and scalable customer service platforms for mortgage products using Angular microservices ASP Net Core or Core Java while orchestrating MCP enabled GenAI solutions and advanced RAG frameworks to improve agent productivity self-service experiences and knowledge workflows in a hybrid work model for a global financial enterprise

Experience

8 - 12 years

Required Skills

Angular 13-18 MCP (Model Context Protocol) GENAI/LLM Fundamentals GenAI Basics Knowledge Engineering for AI RAG Consumption Advanced RAG Frameworks DB - SQL & No SQL Microservices ASP.Net Core Java Domain Skills: Customer service (Mortgage)

Responsibilities

• Design and implement responsive front end applications using Angular versions thirteen to eighteen that deliver intuitive customer service experiences for mortgage journeys while meeting accessibility and performance expectations
• Develop and maintain secure microservices using ASP Net Core or Core Java that support high volume mortgage customer interactions with emphasis on resilience observability and operational stability
• Integrate Model Context Protocol based services with existing application components to orchestrate context rich interactions between core systems and GenAI powered assistance flows
• Build and refine retrieval augmented generation pipelines that combine structured SQL data and unstructured No SQL content to produce accurate and auditable responses for customer service scenarios
• Engineer production ready GenAI and LLM solutions that encapsulate prompt patterns safety constraints and monitoring hooks to enhance customer interactions without compromising compliance
• Design knowledge engineering workflows that curate validate and version domain assets for AI RAG consumption ensuring that mortgage customer service content remains current consistent and discoverable
• Create scalable data access layers using SQL and No SQL stores that support flexible query patterns for mortgage customer profiles loan servicing events and contact center histories
• Collaborate with product owners business analysts and operations teams in the mortgage customer service domain to translate service journeys pain points and compliance rules into technical solutions
• Implement observability practices including logging metrics and tracing across microservices and AI components to enable proactive issue detection and continuous service quality improvement
• Apply secure coding practices and defensive design to protect sensitive mortgage and customer data while aligning with enterprise standards for authentication authorization and data retention
• Conduct code reviews technical walkthroughs and knowledge sharing sessions to promote consistent engineering practices for AI augmented applications across the team
• Optimize application performance by profiling hotspots tuning database queries refining caching strategies and improving model interaction patterns to reduce latency and operational cost
• Partner with testing and operations teams to define automated test coverage deployment pipelines and rollback strategies that keep AI components and microservices reliable in hybrid environments

Qualifications

Qualifications -Offer eight to twelve years of hands on software engineering experience delivering enterprise applications using Angular microservices and modern backend frameworks in financial or similar regulated domains

• Demonstrate strong proficiency with Angular versions thirteen to eighteen including modular architecture state management testing strategies and integration with RESTful and event driven backends
• Exhibit proven experience with GenAI and LLM fundamentals including prompt design grounding techniques and evaluation strategies tailored to customer service workflows Show practical experience in building or supporting advanced RAG frameworks that blend SQL and No SQL sources with vector retrieval methods to improve answer relevance and traceability
• Display solid understanding of Model Context Protocol concepts and implementation patterns for orchestrating context across multiple AI agents tools and enterprise services
• Possess strong skills in ASP Net Core and Core Java for implementing secure scalable and maintainable microservices with clean separation of concerns and reusable components
• Bring hands on experience with relational SQL and document or key value No SQL databases including schema design query optimization and data modeling for customer centric workloads
• Provide domain experience in customer service for mortgage including servicing processes inquiry handling and regulatory considerations with additional mortgage loan exposure considered an advantage
• Communicate clearly with cross functional stakeholders and contribute to documentation runbooks and knowledge artifacts that support sustainable operations in a hybrid work model
• Adapt to evolving AI and GenAI technology landscapes by continuously learning experimenting and applying new techniques that improve customer outcomes and operational efficiency.

Certifications Required

Preferred certifications include Professional Machine Learning Engineer or equivalent AI and cloud credentials