Engineering

Tech Lead – Full Stack (AI-First Mindset)

Remote
Work Type: Full Time

Job Description: Tech Lead – Full Stack (AI-First Mindset) 

Location: [Hybrid/Remote – India] 

Experience: 7–12+ years 

Role Type: Full-time 

 

About the Role 

As a Tech Lead (AI-First), you will lead technical execution across full-stack

applications while actively contributing to architecture, coding, and delivery. You will

guide engineers, drive best practices, and integrate AI-driven capabilities across the

development lifecycle — from automation to smart features inside the product.

This role is 80% hands-on, with strong leadership responsibility.


Key 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:

o Frontend: React.js, Angular

o 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.


Qualifications 

Must Have 

• 7–12+ years of software development experience with strong full-stack

expertise.

• Deep hands-on skills in:

o React.js

o Angular

o Node.js

o Express.js

o 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 + capability to

adopt AI-first tools.


Good 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).

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