Technical Team Lead

JOB OVERVIEW

We are looking for a Technical Lead -Software Engineer to drive the design, development, and deployment of scalable AI-powered solutions across our products and platforms. This is a hands-on leadership role, combining strong technical expertise with team management responsibilities.

• Lead and mentor a team of software engineers
• Design, develop, and maintain scalable applications
• Collaborate with product and cross-functional teams
• Drive best practices in coding, architecture, and deployment

Key Responsibilities

Engineering & Leadership

• Lead and mentor a team of 67 engineers, fostering growth and best practices
• Own technical design, architecture, and delivery of scalable applications
• Conduct code reviews, architecture discussions, and technical guidance

AI & Product Development

• Build and deploy production-grade AI/ML solutions using modern frameworks and LLMs
• Design scalable systems including RAG pipelines, AI agents, and intelligent workflows
• Develop AI-powered applications using OpenAI, Azure AI, and other platforms
• Collaborate with product and cross-functional teams to deliver impactful features

Platform & Infrastructure

• Build APIs, microservices, and full-stack applications (React, Node.js)
• Implement CI/CD pipelines and manage cloud deployments (AWS/Azure/GCP)
• Ensure performance, scalability, and reliability of systems in production

Innovation

• Stay updated with the latest trends in GenAI and emerging technologies
• Drive POCs and bring innovative AI use cases into the product ecosystem

Preferred Requirements

5-7 years of software engineering experience with at least 2 years in a team lead role

• Strong hands-on experience in Python and AI/ML frameworks
• Experience with LLMs, RAG pipelines, and AI application architecture
• Proficiency in APIs, microservices, and cloud platforms
• Strong problem-solving, communication, and leadership skills
• Experience with LangChain, LlamaIndex, or similar frameworks
• Exposure to GenAI, AI agents, and MLOps practices
• Experience with vector databases and AI observability tools