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AI Developer (Python) with GitHub Copilot Experience – 5-8 years’ experience
Job Description:
We are seeking an AI Developer (Python) with substantial experience in utilizing GitHub Copilot to enhance AI-driven software development.
The ideal candidate will possess a strong programming background in Python, a deep understanding of version control systems, and expertise in Generative AI, Agentic AI and Model Context Protocol (MCP), enabling them to leverage GitHub Copilot effectively in their projects.
Key Responsibilities:
Design, develop, and implement AI solutions using Python, integrating GitHub Copilot to streamline development processes.
Provide expert guidance on the capabilities, limitations, and best practices for effectively using GitHub Copilot in development.
Collaborate with cross-functional teams to gather requirements and ensure that AI generated code meets project standards.
Test, debug, and optimize code generated by GitHub Copilot to ensure high performance and adherence to best practices.
Develop application using Generative AI, Agentic AI frameworks like Lang Graph, Crew AI or similar frameworks.
Build and manage custom MCP servers to enhance the functionality of AI applications and improve interactions with GitHub Copilot.
Integrate MCP servers with GitHub Copilot to facilitate seamless code generation and enhance overall development efficiency.
Stay informed about the latest advancements in GitHub Copilot, Generative AI, and MCP to incorporate into development strategies.
Mentor junior developers on effective use of GitHub Copilot, MCP, and best coding practices.
Document processes, guidelines, and best practices for utilizing GitHub Copilot and MCP in AI development.
Analyse user feedback and interactions to improve AI solutions and enhance user experience.
Qualifications:
Bachelor’s degree in computer science, Information Technology, or a related field.
Minimum of 5 years of experience in AI / Agentic AI development, with a focus on Python and utilizing GitHub Copilot.
Advanced proficiency in Python and familiarity with relevant libraries and frameworks (, NumPy, Pandas, TensorFlow, PyTorch).
Proficiency in Agentic AI frameworks (Lang Graph, Crew AI etc) Strong understanding of version control systems, particularly Git and GitHub, including branching strategies and collaboration workflows.
Familiarity with the software development lifecycle (SDLC), including requirements gathering, design, development, testing, and deployment.
Knowledge of DevOps practices, including CI/CD pipelines, to integrate AI solutions into development workflows.
Experience in building and managing custom MCP servers and integrating them with AI tools.
Skills:
Expertise in Python programming and its application in AI development.
Proficiency in using GitHub Copilot to enhance coding efficiency and productivity.
Hands-on experience with GitHub Copilot, GitHub Enterprise, GitHub Actions, and related GitHub features.
Solid understanding of object-oriented programming (OOP) principles and design patterns.
Familiarity with testing frameworks (, unit test, pytest) and debugging tools.
Knowledge of generative models and natural language processing (NLP) concepts.
Experience with model fine-tuning and performance optimization for AI-generated code.
Strong understanding of Model Context Protocol (MCP) and its application in AI development.
The AI Developer (Python) will play a vital role in advancing AI solutions through effective use of GitHub Copilot and Generative AI.
This position requires a blend of technical expertise, creativity, and a passion for enhancing software development practices.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.