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. 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: 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 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

Youll 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. Youll 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 companys 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