Senior Software Engineer - GENAI Value engineer

At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Gen AI Position: SSE Experience: 6 Years Category: Software Development/Engineering Job Location: Hyderabad Mode of Work: Hybrid (3 Days WFO) 6+ years of experience in software engineering, platform engineering, AI engineering, or enterprise application development. . Hands on experience building Generative AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks. . Strong programming experience in Python and experience developing APIs, microservices, and enterprise integrations. . Experience with GenAI frameworks and technologies such as: o OpenAI/Azure OpenAI o Semantic Kernel o LangChain/LangGraph o Vector databases o AI orchestration frameworks o MCP/function calling architectures . Experience designing and implementing semantic search, embeddings, knowledge retrieval, and contextual grounding solutions. . Experience with enterprise GenAI platform implementations in banking, financial services, healthcare, or other regulated industries. . Familiarity with ModelOps/LLMOps, AI evaluation frameworks (RAGAS, DeepEval, MLflow, etc.), and AI governance practices. . Experience implementing agentic AI workflows, multi agent orchestration, and enterprise automation use cases.