Tech Lead – Full Stack (AI-First Mindset)

Responsibilities

Technical Leadership

• Lead technical design, architecture decisions, and development workflows across frontend and backend systems.
• Provide direction on frameworks, patterns, code quality, and performance optimization.
• Mentor engineers, perform code reviews, and ensure engineering best practices.
• Evaluate new AI tools, frameworks, and libraries for integration into the project.

AI-First Engineering

• Apply AI tools and LLMs to improve developer productivity (code generation, testing, documentation, automation).
• Design systems that can support future AI/ML capabilities (API orchestration, extensible data models, scalable services).
• Partner with AI/ML engineers to embed models into full-stack applications.

Full-Stack Development (Hands-On)

• Build scalable applications using:
  • Frontend: React.js, Angular
  • Backend: Node.js, Express.js, NestJS
• Design and develop RESTful APIs, microservices, and backend logic.
• Build reusable UI components, dashboards, and interactive interfaces.
• Implement secure, optimized, and maintainable code across the stack.

Architecture & System Design

• Contribute to high-level architecture: microservices, API gateways, event-driven systems, and cloud-native design.
• Ensure scalability, reliability, security, and performance benchmarks are met.
• Work with DevOps to strengthen CI/CD pipelines and automation.

Collaboration & Delivery

• Work closely with Product Managers, Designers, DevOps, QA, and AI teams to build robust product increments.
• Break down engineering tasks, provide estimates, and ensure predictable delivery.
• Communicate technical decisions, risks, and timelines clearly to stakeholders.

Requirements

• 7–12+ years of software development experience with strong full-stack expertise.
• Deep hands-on skills in:
  • React.js
  • Angular
  • Node.js
  • Express.js
  • NestJS
• Strong understanding of microservices, API design, and distributed systems.
• Proven experience leading technical projects or small teams.
• Experience integrating AI/LLM-based features OR willingness and capability to adopt AI-first tools.

Preferred Qualifications (Nice to Have)

• Experience with TypeScript, RxJS, and modern frontend architecture.
• Familiarity with cloud platforms (AWS/Azure/GCP).
• Experience with vector DBs, LangChain, or integrating AI APIs.
• Knowledge of DevOps practices and containerization (Docker, Kubernetes).

Category

Software Development