Technical Lead

Position Overview We are seeking an experienced Tech Lead to provide hands-on technical leadership and mentor engineers at our AI-focused IT company serving clients across all industry sectors. This role focuses on building scalable architecture, robust development pipelines, and strong software engineering practices for AI applications, while continuing to contribute directly to development and technical problem-solving. A key aspect of this role is working alongside developers who leverage GenAI tools and AI Agents for rapid code generation and automation to establish engineering practices that ensure code quality, maintainability, and scalability. You’ll collaborate with the team to build standards and processes that complement AI-assisted development with solid engineering foundations. Key Responsibilities Technical Leadership: • Architecture & Design: Lead the design and implementation of scalable, maintainable full-stack applications with AI/ML components • Code Quality: Drive and ensure coding standards, design patterns, and best practices across the engineering team • Infrastructure: Design and implement robust development, staging, and production environments using cloud platforms (AWS/Azure/GCP) • DevOps Excellence: Build and maintain CI/CD pipelines, automated testing frameworks, and deployment strategies • Performance & Scaling: Optimize applications for performance, scalability, and cost-effectiveness in production environments Team Development & Mentorship: • Engineering Practice Strengthening: Work with the team to establish robust software engineering principles, design patterns, and architectural standards that complement AI-assisted development • Code Review Standards: Collaborate with team members to build comprehensive code review processes that ensure maintainability, scalability, and adherence to design principles

• AI Tool & Agent Integration: Partner with the team to develop effective workflows using GenAI tools and AI Agents while maintaining code understanding and engineering rigor • Collaborative Learning: Foster regular technical discussions, architecture reviews, and knowledge sharing sessions to elevate collective understanding • Process Development: Work together to establish and refine development practices including Git workflows, testing methodologies, documentation standards, and deployment procedures • Engineering Culture: Promote a collaborative environment where engineering excellence and rapid AI-assisted development work hand in hand Hands-On Development: • Full-Stack Development: Contribute to both frontend and backend development of AI-powered applications • AI Integration: Implement and optimize ML/Gen AI features, AI Agents, and integrations • Technical Problem Solving: Debug complex issues and provide technical guidance on challenging problems Required Qualifications Experience & Skills: • 10 to 15 years of software development experience with a proven track record of delivering production applications • Full-stack expertise with modern web technologies (React/Vue/Angular, Node.js/Python/Java, databases) • AI/ML Project Experience: Demonstrated hands-on experience working on AI/ML projects and integrating machine learning models into applications • Cloud Platform Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) • DevOps & Infrastructure: Experience with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure as code • Architecture Knowledge: Strong understanding of software architecture patterns, microservices, and system design principles • Version Control Mastery: Advanced Git skills including branching strategies, code review processes, and automation workflows

Leadership & Communication: • Technical Leadership: Experience leading technical projects and mentoring other developers • Communication Skills: Ability to explain complex technical concepts to team members at various skill levels • Problem-Solving: Strong analytical and debugging skills with attention to detail • Adaptability: Comfortable working in a fast-paced environment with evolving AI technologies Preferred Qualifications • Mobile Development: Experience with iOS/Android development or React Native/Flutter • AI/ML Technologies: Hands-on experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn • AI Agents: Proven experience building, deploying, and optimizing AI Agents for real-world business use cases • Knowledge of vector databases and RAG implementations • Experience in MLOps, model deployment, and lifecycle management practices • Performance Optimization: Experience optimizing applications for high traffic and large-scale data processing • Security Best Practices: Knowledge of secure coding practices and application security • Client-facing Experience: Experience working in services/consulting environment with external clients • Open-Source Contributions: Active participation in open-source projects or technical communities What You’ll Be Working On • Building scalable AI-powered applications for clients across diverse industry sectors • Establishing robust development and deployment pipelines for AI/ML and AI Agent applications • Creating reusable frameworks and collaboratively developing coding standards for quality development • Working with the team to implement comprehensive code review processes and engineering practices • Setting up monitoring, logging, and observability solutions for production AI applications • Collaborating with client stakeholders and cross-functional teams including data scientists and project managers • Exploring and implementing AI Agent-based solutions to enhance client applications • Building engineering practices and processes that scale with the team’s growth and project complexity Team Environment You’ll be working with a team of engineers at our Hyderabad office, delivering AI solutions for clients across various industries. Many team members are skilled at leveraging GenAI tools and AI Agents for rapid development and are eager to strengthen their software engineering foundations and architectural understanding. This presents an exciting opportunity to work collaboratively with the team to establish engineering practices that balance the speed of AI-assisted development with robust, maintainable code. You’ll be working alongside the team to explore AI tools, AI Agents, and emerging technologies while building the engineering culture and standards that will scale with the company’s growth. Growth Opportunities • Lead technical initiatives and architectural decisions • Expand expertise in emerging AI/ML and AI Agent technologies • Develop leadership and mentoring skills • Opportunity to shape the technical direction of AI products • Conference speaking and technical writing opportunities