Tech Lead Engineer

As a Lead Engineer on our AI Tiger Team, you will play a critical role in designing, developing, and maintaining high-quality software applications using C# and React. You will set technical direction for the team, guide the adoption of AI-assisted development tools, and ensure the team ships reliable, well-tested software. You will be the senior technical voice — making architectural decisions, mentoring engineers, and defining what responsible, high-velocity AI-assisted development looks like in practice. This position requires a deep understanding of software engineering principles, strong .NET expertise, and hands-on experience with AI coding tools.

What You'll Do

• Build reliable systems that integrate large language models into our products
• Leverage AI tools like Copilot and automation platforms to enhance product capabilities and engineering efficiency
• Define standards for AI-assisted development across the team — what is acceptable, how to validate AI-generated code, and how to ship safely
• Lead architectural analysis and reverse-engineering of legacy .NET applications to guide modernization
• Lead code reviews and validate AI-generated code quality, security, and reliability
• Own CI/CD pipelines and automated testing strategy across the team
• Develop and maintain web applications using .NET (C#, ASP.NET Core/Framework)
• Develop and optimize database solutions using MS-SQL Server, SQL Server, PostgreSQL, or NoSQL databases
• Build responsive and dynamic user interfaces with React.JS
• Proficiency in using Unit testing frameworks to write robust test suites
• Continuous Integration and Continuous Delivery tools like Azure DevOps, GitHub Actions, Jenkins
• Mentor and develop P3 engineers on .NET and AI development practices
• Collaborate with cross functional teams and other stakeholders
• Implement RESTful APIs and integrate third-party services
• Write clean, maintainable, and efficient code following best practices
• Participate in code reviews, testing, and documentation
• Stay up to date with emerging technologies and best practices in full-stack development

What You'll Bring

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience)
• 10+ years of experience in software development, with hands-on technical lead experience
• Agentic AI Development: Active engagement with AI coding tools (Claude Code, GitHub Copilot, Cursor) and a clear vision for team-scale responsible AI use
• LLM Skills: Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), as well as tuning models
• LLM Model: Apt with GPTs, Llama, or any other LLM using frameworks such as LangChain, LangGraph. Knowledge of vector databases, memory systems, and human-in-the-loop workflows
• AI Tools: Hands-on with AI-driven development tools, intelligent code assistance, and workflow automation
• Experience in working with product-based companies, contributing to the development, enhancement, and scaling of high-quality products
• Strong proficiency in C#, ASP.NET Core/.NET 8+, Web API, Entity Framework Core
• Expertise in React.js, TypeScript, Redux, Next.js (a plus)
• Experience with SQL Server, MS-SQL Server or NoSQL databases (MongoDB, Redis)
• Knowledge of RESTful API development and integration
• Search and analytics engine like Elastic Search
• Experience with unit testing (xUnit, Jest, Moq) and integration testing
• DevOps & CI/CD - Familiarity with Docker, Kubernetes, Azure DevOps
• Security-aware: understands risks of AI-generated code and how to address them
• Ensure high performance, scalability, and security of applications
• Conduct code reviews, write unit tests, and follow TDD and Agile development practices
• Highly organized — sets up reliable, well-documented systems for the long term
• Mentor junior developers and collaborate with UX/UI designers and product teams
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Ability to work independently and take ownership of projects
• LLM Skills: Experience with using LLMs using embeddings, RAG, VectorDB and prompt engineering building production grade applications