Full-Stack AI-Native Engineer Internship

Babaclick; Gurugram District; Presencial; INR 406 000 - 487 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

In-person internship

Gurugram office

Resumo da oferta

Babaclick is hiring a software engineer for a 3‑month paid internship at our Gurugram office. You will contribute to AI-assisted development, catalogue growth, and automation, building production-ready components with real business impact.

Ideal candidates have 1+ years in software engineering, strong fundamentals, and familiarity with AI-powered coding tools. In-person collaboration in Gurugram is required for the duration.

Qualificações

• 1+ years of professional software engineering experience.
• Strong fundamentals in backend, full-stack, or app development.
• Experience shipping production software and tools.

Responsabilidades

• Contribute to AI-assisted product development and internal platform engineering.
• Build catalogue growth systems and workflow automation.
• Develop APIs, tooling, and dashboards; debug production issues.

Conhecimentos

Software engineering

Backend development

AI tools experience

Ferramentas

Cursor

Claude Code

GitHub Copilot

Descrição da oferta de emprego

Babaclick operates at the core of international e-commerce across major global markets, including the UK and US. Our Gurgaon team builds the commercial, operational, and systems infrastructure behind sourcing, pricing, supplier management, catalogue growth, workflow automation, and scalable operational decision-making.

As AI reshapes how modern businesses operate, we're embedding AI-assisted software development, workflow automation, structured data systems, and operational intelligence into every function of the business.

This is a three-month paid internship, offering ₹40,000 per month . You’ll work in person with our team at our Gurugram office for the duration of the internship.

We're hiring software engineers with proven professional experience, solid engineering fundamentals, and real exposure to production environments — engineers who already build, debug, and ship using AI-assisted development as a core part of their workflow, not an experiment.

About the Role:This isn't a role for building technology in isolation. Our engineers work on systems that directly shape how the business operates, scales, and makes decisions. Most projects start with a real business problem, not a predefined technical spec — you'll work with engineering and business teams to understand a workflow, spot bottlenecks, design a solution, implement it, validate it, and keep it reliable in production.

• You'll contribute across:AI-assisted product development and internal platform engineering
• Catalogue growth systems and workflow automation
• API integrations and operational tooling
• Data quality, structured data systems, and internal dashboards/reporting
• Debugging production issues and business process optimisation
• Scalable, AI-enabled operational infrastructure

Projects typically span databases, backend services, APIs, frontend applications, and automation tooling — so we're looking for engineers who understand not just how to build a solution, but why it should be built, what it's solving, and whether it's the right call for the business.

• Who We’re Looking For:Strong candidates typically bring:Experience: 1+ years of professional software engineering experience, ideally at a recognised technology, product, SaaS, fintech, or e-commerce company, contributing to real production systems and existing codebases.
• Academic background: A strong foundation in Computer Science, Computer Engineering, IT, or a related discipline — preferably from a Tier 1 or strong Tier 2 institution.
• Engineering fundamentals: Solid backend, full-stack, or general application development skills, plus a track record of shipping useful software, automation, internal tools, or AI-powered products.
• Judgement and communication: Strong analytical thinking, high ownership and attention to detail, excellent written/verbal English, comfort in fast-moving environments, and the confidence to question assumptions rather than just execute instructions.
• This role is not for candidates whose AI experience is limited to experimenting with ChatGPT. You should already be using tools like Cursor, Claude Code, GitHub Copilot, or similar in real engineering work, and be able to:Structure prompts and context that reliably produce high-quality output
• Read, validate, and improve AI-generated code — catching bad assumptions, edge cases, and weak implementations
• Debug AI-generated code when it doesn't behave as expected
• Work within existing codebases, not just isolated personal projects
• Break down complex problems into structured implementation plans
• Use AI to move faster without outsourcing technical judgement

Strengthen your application with: links to GitHub repos, deployed applications, a technical portfolio, open-source contributions, or other projects that demonstrate your engineering ability. For candidates with professional experience, we'll weigh most heavily what you personally built, owned, and delivered — and the decisions and trade-offs behind that work.

Business Understanding & Judgement:Babaclick is an international commerce business, and our engineering function exists to solve real commercial and operational problems. Interviews will assess business judgement alongside technical skill.

• Before interviewing, come prepared to discuss:What Babaclick does, and the markets we operate in
• Why an international commerce business needs an internal engineering function
• Where software, automation, data, and AI can create operational or commercial leverage
• How your own experience could translate into value at Babaclick

We don't expect you to understand every part of our business going in — but we do expect you to have researched it, thought critically about how it operates, and arrived with informed questions and considered views. Technical ability is essential; commercial awareness and sound judgement matter just as much.

Recruitment Process: We assess: engineering fundamentals, professional experience, AI-assisted development capability, problem-solving, ability to navigate existing codebases, communication, business judgement, and ownership.

Come prepared to discuss past systems you've worked on in depth — your individual contribution, technical decisions, trade-offs, challenges, and impact.