Software Engineer - Python AI

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: Software Engineer - Python AI

Position: Software Engineer
Experience: 3 5 Years
Category: Software Development/ Engineering
Shift: General Shift
Work Mode: Hybrid (3 days in office, 2 days WFH)

Primary location: India, Karnataka, Bangalore
CGI Office: Ecity, Bangalore
Position ID: J0726-1389
Employment Type: Full Time
Education Qualification: Bachelor’s degree in Computer Science or related field or higher with minimum 3 years of relevant experience.
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Your future duties and responsibilities

We are looking for a passionate and self driven Junior Professional with strong fundamentals in Python and hands on experience working with AI/ML models, particularly Large Language Models (LLMs). The ideal candidate should have a growth mindset, a strong willingness to learn emerging AI technologies, and the ability to work collaboratively in a fast paced development environment.
This role offers an excellent opportunity to work on cutting edge Generative AI solutions, model fine tuning, prompt engineering, AI agent development, and enterprise AI applications.
Key Responsibilities

. Develop, test, and maintain Python based applications and services.
. Assist in building and deploying AI/ML and Generative AI solutions.
. Fine tune and optimize Large Language Models (LLMs) for specific business use cases.
. Work with prompt engineering techniques to improve AI model responses.
. Develop and integrate AI powered APIs and services.
. Perform data preprocessing, model evaluation, and performance tuning activities.
. Collaborate with senior developers, architects, and business stakeholders.
. Participate in code reviews and follow development best practices.
. Research and learn emerging AI/ML technologies and recommend innovative solutions.
. Create technical documentation and knowledge sharing artifacts.

Required qualifications to be successful in this role

Must to have skills:

. Strong hands on experience in Python.
. Good understanding of Object Oriented Programming (OOP).
. Familiarity with Python libraries and frameworks.

AI/ML & Generative AI

. Hands on exposure to Large Language Models (LLMs).
. Experience in model fine tuning and optimization techniques.
. Understanding of Prompt Engineering concepts.
. Familiarity with Transformers, Hugging Face, OpenAI, or similar AI ecosystems.
. Basic understanding of Retrieval Augmented Generation (RAG) concepts.
. Knowledge of model evaluation and performance metrics.

Data & APIs

. Experience working with JSON, APIs, and REST services.
. Basic knowledge of SQL and data handling.
. Data preprocessing and data preparation skills.

Tools & Platforms

. Git/GitHub/Azure DevOps.
. Jupyter Notebook or equivalent development tools.
. Exposure to Azure AI Services, AWS AI Services, or Google Cloud AI is a plus.

Good to have :
. Has a strong passion for AI and emerging technologies.
. Demonstrates excellent analytical and problem solving skills.
. Is eager to learn and explore new tools and frameworks.
. Takes ownership of assigned tasks and delivers quality outcomes.
. Communicates effectively and collaborates well within a team.
. Shows adaptability in a rapidly evolving technology landscape.

Nice to Have

. Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or AI Agents.
. Exposure to Vector Databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search.
. Knowledge of Machine Learning fundamentals.
. Experience with Docker and CI/CD pipelines.
. Familiarity with cloud platforms such as Azure, AWS, or GCP.

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities …