Full Stack Lead (Agentic AI)

Job Purpose

The Full Stack Tech Lead is responsible for driving end‑to‑end technical architecture, development, and optimization of both front-end and back-end systems across enterprise platforms. This role provides expert‑level hands‑on engineering leadership, ensures scalability, performance, and security, and enables the adoption of modern engineering methodologies including DevOps, cloud‑native patterns, and AI‑powered development workflows. The Full Stack Tech Lead collaborates closely with cross‑functional teams, mentors engineers, and ensures consistent delivery of high‑quality, aligned software solutions.

Key Accountabilities

Strategic Activities

• Lead the design and implementation of scalable, high‑performance architectures across both frontend and backend domains, ensuring long‑term platform sustainability and extensibility.
• Formulate and own the technical roadmap governing UI frameworks, backend architectures, APIs, databases, cloud infrastructure, integration patterns, and DevOps workflows.
• Drive architectural alignment with business objectives, translating product needs into feasible and robust full‑stack solutions.
• Establish best‑in‑class coding standards, architecture principles, documentation practices, and quality guidelines across both frontend and backend teams.
• Oversee performance optimization efforts across the entire stack—including rendering, API latency, data flows, caching layers, and cloud resource utilization.
• Implement and enhance CI/CD pipelines, automated testing suites, monitoring dashboards, and alerting mechanisms supporting efficient and resilient deployments.
• Introduce and scale AI‑enhanced engineering practices, including GitHub Copilot, automated test creation, code generation, performance tuning, and incident analytics using LLM‑powered agents.
• Evaluate and integrate emerging technologies (micro frontends, microservices, serverless, event‑driven pipelines, RSC, container orchestration) into the engineering ecosystem.
• Conduct architecture reviews, system audits, threat modeling, and technical risk assessments to ensure compliance, reliability, and security.
• Collaborate with Product, UX, QA, Cloud, and Security teams to ensure cohesive cross‑functional alignment and flawless delivery execution.
  
• Drive modernization initiatives including legacy platform upliftment, refactoring, schema redesign, API evolution, and cloud migrations.

Team Management

• Help the developer team members to understand the technical aspects of the project in alignment with teams Lead and other stakeholders.
• Stay informed about industry trends and advancements, integrating relevant innovations into the companys technical strategy.
• Monitor and improve team performance metrics such as bug count, severity distribution, and task ownership.
• Ensure proactive communication of availability and task status.

Skills Required for the role

• Proficiency in project management software and tools.
• Communication and Leadership Skills.
• Knowledge of IT best practices and methodologies.
• Problem-Solving and Decision-Making Skills.
• Project and Time Management Skills.
• Skill in coaching and mentoring the Scrum team on Agile principles, Scrum framework.

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• Adaptability and Continuous Learning Skills.
• Proficient in Node.js with TypeScript, with hands-on experience in MongoDB and PostgreSQL. Familiarity with Python is a plus.
• Strong working knowledge of Microsoft Azure cloud services.
• Demonstrated expertise in GitHub Copilot for AI-assisted code generation.
• Experience with Agentic AI systems and Large Language Models (LLMs).

Educational and Experience Requirements

• Bachelors degree in a relevant field, such as computer science, information technology, or project management.

• 10+ years of total IT experience
• Proven experience in managing IT projects.
• Strong technical knowledge and understanding of IT systems and software development.
• Project management certification (e.g., PMP, PRINCE2) is a plus.