Development Lead

Position Overview

We are seeking an experienced Development Lead to guide and mentor a team of 10-15 engineers at our AI-focused IT company serving clients across all industry sectors. This role combines hands-on technical leadership with people management, focusing on establishing fundamental software engineering practices, scalable architectures, and robust development pipelines for AI applications.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. Youll 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: Establish and enforce 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 Establishment: Work with the team to establish robust software engineering principles, design patterns, and architectural standards that complement AI-assisted development
• Code Quality 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: Build 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:- 5-10 years of software development experience with a proven track record of delivering production applications

Full-stack expertise with modern web technologies (React/Vue/Angular, , 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 Youll 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 teams growth and project complexity

Team Environment

You'll be leading a team of 10-15 engineers at our Hyderabad office, working on 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