Gen AI, Python Engineer (AI/LLM | FastAPI | AWS)

Job description

Position Description Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Gen AI, Python Engineer (AI/LLM | FastAPI | AWS) Experience: 5 + Years Location: Hyderabad/Bangalore/Chennai Position ID : J0626-2471 CGI is seeking an experienced Senior Python Engineer with 5+ years of experience in backend application development, cloud technologies, and AI-driven solutions. The ideal candidate will possess strong expertise in Python, FastAPI, AWS, data processing, and Large Language Models (LLMs), with proven experience building scalable, secure, and production-grade applications. The successful candidate will work on enterprise AI initiatives, designing intelligent applications, integrating modern AI frameworks, and developing cloud-native solutions leveraging AWS services. Your future duties and responsibilities Design, develop, and maintain scalable Python applications following object-oriented programming (OOP) principles and software engineering best practices. Develop and optimize high-performance RESTful APIs using FastAPI. Design robust backend services with a focus on scalability, security, and maintainability. Develop efficient data processing pipelines using Python data structures and algorithms. Perform data analysis and transformation using Pandas, NumPy, and DataFrames. Build file processing solutions for PDF, CSV, Excel, Word, and other structured and unstructured document formats. Develop data visualization and reporting capabilities using Matplotlib. Design and implement cloud-native solutions leveraging AWS services. Integrate and manage Amazon S3, Amazon Aurora PostgreSQL, and AWS Lambda for scalable application development. Automate AWS services using Boto3. Design and implement AI-powered features using OpenAI APIs and enterprise-grade Large Language Models (LLMs). Build intelligent workflows using LangChain, LangGraph, and Pydantic AI. Develop AI solutions utilizing modern LLMs such as ChatGPT-5, Claude Sonnet 4.5, and AWS Nova. Optimize prompt engineering strategies and LLM orchestration for enterprise applications. Implement application security, logging, monitoring, and performance optimization best practices. Collaborate with product owners, architects, cloud engineers, and cross-functional teams throughout the software development lifecycle. Participate in technical design discussions, code reviews, mentoring, and continuous improvement initiatives. **Required Qualifications To Be Successful In This Role** Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 5+ years of experience in Python application development. Strong expertise in object-oriented programming (OOP) and Python development best practices. Hands-on experience developing RESTful APIs using FastAPI. Strong understanding of Python data structures, algorithms, and efficient data processing techniques. Experience working with Pandas, NumPy, and DataFrames for data analysis and manipulation. Experience processing structured and unstructured files including PDF, CSV, Excel, and Word documents. Working knowledge of Matplotlib or similar data visualization libraries. Hands-on experience with AWS cloud services, including: Amazon S3 Amazon Aurora PostgreSQL AWS Lambda Experience using Boto3 for AWS service integration and automation. Hands-on experience with AI and LLM frameworks, including: LangChain LangGraph Pydantic AI Practical experience integrating and developing applications using enterprise LLMs such as: ChatGPT-5 Claude Sonnet 4.5 AWS Nova Experience implementing secure, scalable, and production-ready backend applications. **Preferred Qualifications** Experience designing and implementing serverless architectures on AWS. Knowledge of prompt engineering and LLM orchestration techniques. Experience building Retrieval-Augmented Generation (RAG) applications. Familiarity with vector databases and semantic search technologies. Experience with Docker and containerized deployments. Experience working with CI/CD pipelines. Knowledge of microservices architecture and distributed systems. Experience implementing application monitoring, logging, and observability solutions. Experience writing unit, integration, and API tests. **Skills** Strong analytical and problem-solving abilities. Excellent debugging and performance optimization skills. Strong understanding of software design patterns and clean architecture. Excellent communication and stakeholder management skills. Ability to mentor junior engineers and provide technical leadership. Experience working in Agile/Scrum development environments. Desired Competencies Passion for AI, Generative AI, and cloud-native application development. Ability to design scalable and maintainable enterprise solutions. Strong ownership, accountability, and collaboration skills. Continuous learning mindset with the ability to evaluate and adopt emerging AI technologies. Commitment to delivering high