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JobGini Linkedin · Posted 1mo ago

AI Tech Lead (Experienced in Python & .Net Applications)

Canada

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Indexed description

Job Title: Tech Lead

Job Summary

We are seeking an experienced Tech Lead to provide technical leadership and hands-on expertise in designing, modernizing, and delivering high-quality software solutions. The ideal candidate is a strong individual contributor who can balance architecture, coding, mentoring, GenAI-assisted development, and cross-functional collaboration.

This role requires deep experience in Python and .NET application development, along with the ability to drive application tech-stack conversion, modernization, and standardization across teams. The Tech Lead will actively leverage GenAI and Agentic AI tools to accelerate development, improve code quality, and enhance engineering productivity in a global delivery environment.

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Key Responsibilities

Technical Leadership & Architecture

· Provide technical direction and architectural guidance for new development and modernization initiatives.

· Own end-to-end design decisions, ensuring solutions are scalable, secure, cloud-ready, and aligned with standardized enterprise architectures.

· Lead application tech-stack conversion and standardization efforts, including migration and consolidation across Python and .NET platforms.

· Review and approve architecture designs, code, and technical documentation.

· Identify and drive systemic technical improvements, including reuse, simplification, and platform alignment.

Hands-On Development & GenAI Adoption

· Actively contribute high-quality, maintainable, and performant code using Python and .NET technologies.

· Leverage GenAI-based developer tools (e.g., Copilot, Cursor, Claude, Windsurf) for:

o Code generation and refactoring

o Test case creation

o Documentation and design acceleration

o Debugging and optimization

· Apply prompt engineering best practices to improve accuracy, efficiency, and consistency of GenAI outputs.

· Lead by example in coding standards, testing practices, CI/CD, and DevOps automation.

· Troubleshoot complex technical issues and ensure timely, root-cause-oriented resolutions.

Agentic AI–Driven Engineering

· Design and guide the use of Agentic AI workflows for software development activities such as:

o Automated code reviews and refactoring

o Dependency analysis and impact assessment

o Regression detection and test automation

o Operational and observability insights

· Evaluate and recommend Agentic AI frameworks or approaches that improve developer productivity and software quality.

· Ensure Agentic AI solutions are secure, auditable, and aligned with enterprise governance standards.

Team Leadership & Mentoring

· Mentor and coach developers on modern application architecture, Python/.NET best practices, and AI-assisted development techniques.

· Support sprint planning, backlog grooming, and Agile ceremonies.

· Delegate tasks effectively while maintaining accountability for quality and delivery.

· Foster a collaborative, learning-oriented engineering culture with a strong focus on continuous improvement.

Project & Stakeholder Management

· Partner with product managers, architects, QA, and business stakeholders to translate requirements into technical solutions.

· Estimate development effort and support planning of timelines, milestones, and deliverables.

· Ensure projects are delivered on time, within scope, and in compliance with technical and quality standards.

· Communicate technical trade-offs and risks clearly to both technical and non-technical audiences.

Quality, Security & Performance

· Enforce best practices in secure coding, scalability, performance optimization, and resilience.

· Drive adoption of automated testing, CI/CD pipelines, infrastructure as code, and observability practices.

· Ensure systems are reliable, maintainable, and production-ready, including AI-assisted components.

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Required Skills & Qualifications

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· 6–12+ years of hands-on software development experience.

· Proven experience as a Senior Developer or Tech Lead guiding engineering teams.

· Strong hands-on expertise in Python and .NET application development.

· Experience leading or contributing to application tech-stack conversion, modernization, and standardization initiatives.

· Strong understanding of:

o Software architecture and design patterns

o Microservices and API design

o Cloud platforms (Azure, AWS, or GCP)

o SQL and NoSQL databases

o CI/CD pipelines and DevOps practices

· Hands-on experience using GenAI-based code generation tools (e.g., Copilot, Cursor, Claude, Windsurf).

· Practical experience with prompt engineering and leveraging GenAI for day-to-day engineering tasks.

· Exposure to or hands-on experience with Agentic AI concepts and tools for software development workflows.

· Solid understanding of Agile/Scrum methodologies.

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