Java Full stack AI engineer

Cognizant
Bangalore Urban, Karnataka, India

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.

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Questions about this job

How do I apply for the Java Full stack AI engineer job at Cognizant?

Use the apply link on this page: you apply directly with Cognizant on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Cognizant want for this Java Full stack AI engineer role?

The job description asks for 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 and Microservices. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Cognizant?

Apply to the Cognizant roles that match your experience, and tailor your resume to each job description: for this role that means showing GENAI/LLM Fundamentals, Knowledge Engineering for AI RAG Consumption, Advanced RAG Frameworks. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Java Full stack AI engineer job remote or onsite?

This is based in Bangalore Urban, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Cognizant, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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