Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Summary: UST is looking for a hands-on Lead Software Engineer who combines strong software development expertise with effective use of AI-powered development tools, Python automation, and technical leadership to deliver high-quality solutions faster, mentor engineering teams, and drive successful project outcomes. The Opportunity: • Role: Lead AI-Assisted Software Engineer (Offshore) • Overview: We are looking for a highly skilled Lead Software Engineer with strong hands-on development expertise and a passion for leveraging AI tools to improve engineering productivity and delivery outcomes. This is not an AI/ML model development role. The focus is on building applications, automation, and solutions using existing AI platforms, APIs, and coding assistants while providing technical leadership to the team. • Key Roles & Responsibilities: • Lead the design, development, testing, and deployment of scalable enterprise applications. • Remain hands-on with coding and contribute to critical development activities, code reviews, troubleshooting, and solution implementation. • Leverage AI-powered development tools (GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf, etc.) to accelerate development, improve quality, and reduce delivery timelines. • Develop automation solutions, utilities, and integrations using Python. • Integrate existing AI/LLM APIs and services into business applications and workflows. • Provide technical leadership to development teams, ensuring adherence to architecture, coding standards, security, and best practices. • Mentor and guide junior and mid-level engineers on modern development practices and effective use of AI tools. • Drive solution design discussions and collaborate with architects, product owners, business analysts, and QA teams. • Lead estimation, technical planning, risk identification, and mitigation for assigned workstreams. • Ensure delivery quality through code reviews, automated testing practices, and CI/CD adoption. • Evaluate and recommend opportunities to improve engineering efficiency through AI-assisted software development. What you need: • 8+ years of software development experience with strong hands-on coding capability. • Proficiency in Python and modern application development technologies. • Proven experience building and integrating REST APIs, microservices, and cloud-native applications. • Ability to utilize AI-powered tools as a productivity accelerator and coach teams on AI-enabled development practices. Required Skills: • 8+ years of software development experience with strong hands-on coding capability. • Proficiency in Python and modern application development technologies. • Experience building and integrating REST APIs, microservices, and cloud-native applications. • Strong understanding of software engineering best practices, design patterns, DevOps, CI/CD, and Agile methodologies. • Demonstrated experience using AI-assisted development tools to increase productivity and code quality. • Ability to troubleshoot complex technical issues and provide hands-on leadership during critical deliveries. • Strong communication and stakeholder management skills. Desired Skills: • A technical lead who continues to code and lead by example. • Uses AI as a productivity accelerator and can coach teams on AI-enabled development practices. • Strong problem solver capable of independently driving complex technical initiatives. • Focused on application development, automation, and delivery excellence rather than building or training AI/ML models. • Passionate about modern engineering practices and continuous improvement. Qualification: • 8+ years of relevant software development experience. • Bachelor's degree in Computer Science, Engineering, or a related field