Python AI

Job Summary

Python /.Net and software development using Gen AI Tools

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.

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:
  • Code generation and refactoring
  • Test case creation
  • Documentation and design acceleration
  • 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:
  • Automated code reviews and refactoring
  • Dependency analysis and impact assessment
  • Regression detection and test automation
  • 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.

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.

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:
  • Software architecture and design patterns
  • Microservices and API design
  • Cloud platforms (Azure, AWS, or GCP)
  • SQL and NoSQL databases
  • 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.