Position Description
Company Profile:
We’re Hiring at CGI for our GCC - Right Here in Hyderabad
Join us at the intersection of technology, finance, and innovation. You will be working to support the Financial Services Group, one of the top-tier financial institutions in the U.S. You’ll help shape digital solutions for a global enterprise—from the ground up.
This is more than a job. It’s your opportunity to:
• Work on cutting-edge technologies
• Collaborate with global teams
• Build a career with purpose and impact
Ready to build the future of banking? Let’s talk.
Job Title: Java Full stack Engineering Lead with Agentic AI
Job Position: Java Full stack Engineering Lead with Agentic AI
Experience:8-15 Years
Category: Software Development/ Engineering
Shift: 11AM to 8PM
Main location: India, Telangana, Hyderabad
Position ID: J0726-0073
Employment Type: Full Time
No of Positions open: 5
Your future duties and responsibilities
Job Overview:
CGI is looking for a talented and motivated Java Full Stack with solid expertise in Agentic AI to build and manage scalable, efficient, and reliable data pipelines and infrastructure. You’ll play a key role in transforming raw data into actionable insights, working closely with data scientists, analysts, and business teams.
Your future duties and responsibilities:
Java Full stack with AI/ML (Java or Python)Qualifications/Required Skills
• 8-15 years of experience in software engineering with deep exposure to AI/ML systems in production environments.
• Proven experience building RAG based systems, AI agents, LLM-driven systems, or autonomous workflows—not just consuming AI APIs.
• Proven experience in using Agentic AI frameworks like Langchain, Langgraph, MS Agentic AI Framework, Crew AI, Google ADK (expertise in atleast one)
Required qualifications to be successful in this role:
Strong Backend experience with Java 21+, J2EE, Spring, Spring Boot, REST/SOAP web services, Micronaut
Strong programming experti
📌 Java Full stack Engineering Lead with Agentic AI (Hyderabad)
🏢 CGI
📍 Hyderabad
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