AI-ML Engineer

Company Profile: - 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: AI-ML Engineer Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 2 years to 5 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0526 Employment Type: Full Time Job Description: - AI-ML Engineer We are seeking a high-impact AI/ML Software Engineer to join our AI engineering team. The ideal candidate brings deep expertise in modern agentic frameworks such as Google ADK, CrewAI, AutoGen, or LangGraph, and hands-on experience in developing Model Context Protocols (MCP). This role is ideal for individuals passionate about engineering through automation, scaling AI architecture, and contributing to the next generation of agent-based systems. You will work closely with our CICD platform tooling and global architecture teams to enhance and productize our agentic SDLC platform. Key Responsibilities:

• Design, develop, and maintain Kubernetes-based containerized microservices and CICD automation pipelines that support SDLC.
• Build modular agent workflows capable of reasoning, collaborating, and adapting dynamically to context and goals.
• Develop and manage multi-agent systems using frameworks like Google ADK, CrewAI, or AutoGen.
• Build and optimize MCP pipelines, including context injection, memory caching, semantic retrieval, and embedding-based context scoping.
• Develop CLIs and SDKs to support MCP testing and integration.
• Collaborate with cross-functional teams including product, data analytics, and infrastructure to evolve tooling for agent development, prompt evaluation, and telemetry analysis.
• Fine-tune foundation models (e.g., GPT, Claude, Falcon) for enhanced domain-specific performance.

Required Qualifications:

• Bachelor’s degree in computer science, Engineering, Mathematics, or a related technical field.
• 2–5 years of software engineering experience, with at least 2 years focused on AI/ML or developer platform teams.
• Strong coding skills in Python and Golang, with a track record of writing clean, secure, and scalable code.
• Proven experience in MCP implementation, ensuring efficient, coherent, and context-aware data flow in multi-agent LLM systems.
• Experience with Kubernetes, service mesh technologies (e.g., Istio), and Infrastructure-as-Code (IaC).
• Familiarity with distributed task orchestration and real-time agent execution environments.