AI Software Engineer

CGI is a leading IT and business consulting services firm, and they are seeking an AI Software Engineer to design and deliver scalable software solutions for Agentic AI and Generative AI products. The role involves building features, troubleshooting complex issues, and defining engineering best practices within the team.

Responsibilities:

• Design, build, and maintain backend services and platforms that support Agentic AI and Generative AI use cases
• Work with the team lead and product owner to understand business and technical requirements, refine user stories, and shape implementation approaches
• Develop robust, scalable APIs and services using modern Python frameworks and API technologies
• Build and integrate real-time and batch data pipelines using streaming and distributed processing technologies
• Contribute to application and platform architecture with a focus on scalability, reliability, performance, and maintainability
• Troubleshoot production and development issues, identify root causes, and implement durable solutions
• Help define, promote, and apply engineering best practices for system design, testing, deployment, observability, and operational support
• Contribute to CI/CD, containerization, and cloud deployment strategies to support efficient and reliable software delivery

Requirements:

• Strong software engineering background with significant hands-on experience building and delivering production-grade applications
• Demonstrated expertise in Python and at least one major web framework
• Hands-on experience developing RESTful APIs using FastAPI and GraphQL APIs using Strawberry, with a strong understanding of API architecture and service design principles
• Experience working with streaming platforms such as Kafka or Azure Event Hubs to build real-time data processing and integration pipelines
• Strong proficiency in designing, integrating, and managing multiple database technologies, including PostgreSQL and MongoDB
• Experience with big data and distributed processing frameworks such as Spark and Delta Lake for scalable data engineering workflows
• Hands-on experience with Databricks for collaborative data engineering and machine learning development
• Experience integrating with LLM APIs such as OpenAI, Llama, or other mainstream Generative AI models
• Strong understanding of cloud computing, scalability, and solution architecture, with emphasis on Microsoft Azure
• Experience deploying and managing applications using Docker and Kubernetes
• Experience creating and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions
• Experience building systems that handle high concurrency using multi-processing, multithreading, async patterns, or actor-based models
• Excellent problem-solving, communication, and collaboration skills with strong attention to detail
• Experience using LangChain or similar frameworks to interface with LLMs and support agentic workflows
• Experience with Agentic AI patterns, including orchestration, tool usage, multi-step workflows, memory/context handling, and evaluation
• Full-stack development experience is a plus
• Experience with observability, monitoring, and performance tuning in cloud-native environments
• Telecommunications industry experience or other relevant domain knowledge is a plus