Anakin is the data engine behind real-time competitive intelligence of global online commerce companies.
We help large internet businesses understand markets faster by collecting, structuring, and generating insights from massive volumes of public web data. Our systems operate across categories, geographies, and constantly changing websites. That means the engineering problems here are not toy problems. They involve scale, reliability, anti-bot systems, dynamic pages, messy edge cases, and production pressure.
If you want an internship where you mostly shadow people, this is not that.
If you want to work on real systems, solve hard backend problems, and earn a serious PPO on merit, keep reading.
What this role is
This is a hands-on backend/systems internship for campus developers who want to become strong engineers early.
You will work on real production-facing problems across backend systems, APIs, automation, data pipelines, scraping infrastructure, reverse engineering, debugging, and reliability. You will not be hired to “learn around the edges.” You will be expected to understand problems clearly, write code that works, debug what breaks, and improve systems with ownership.
This role is designed for people who want steep learning, high accountability, and a front-row seat to how a high-speed startup engineering team operates.
Why this role is hard
This internship is hard because the problems are real.
Web systems change without warning. Dynamic websites break. Anti-bot measures evolve. Production bugs rarely come with clean answers. Good code is not enough; you need judgment, debugging discipline, speed, communication, and persistence.
You will be expected to:
understand ambiguous problems quickly
break them into workable parts
ship clean solutions
test edge cases
ask for help intelligently when blocked
recover fast when things fail
This is not a “complete one assignment and wait” internship. This is a builder’s internship.
What you will work on
Build and scale backend systems, internal services, APIs, and data pipelines
Work on scraping and web automation infrastructure for dynamic websites
Debug production issues and improve reliability, performance, and maintainability
Write clean, testable, secure, maintainable code
Participate in code reviews, architecture/problem discussions, and testing strategy
Benchmark tools, explore better approaches, and improve engineering workflows
Ship features end-to-end with strong ownership
Proactively identify bottlenecks, bugs, and opportunities for system improvement
What we’re looking for
Technical
Strong fundamentals in Data Structures and Algorithms
Good programming skills in Python, Java, or any solid backend language
Strong understanding of backend fundamentals, APIs, databases, and debugging
Hands-on project experience in one or more of the following:
backend development
automation
APIs
web crawling/scraping
reverse engineering
systems projects
Comfort with reading documentation, experimenting, and learning independently
Ownership
Takes tasks from start to finish instead of waiting to be told every next step
Communicates clearly when blocked
Has high standards for output and follow-through
Likes solving problems deeply instead of superficially
Can handle feedback, pressure, and iteration
AI usage
We value thoughtful use of AI tools.
Using AI to move faster is good. Blindly depending on AI without understanding what the code does is not. We are looking for engineers who can use AI as leverage, not as a substitute for thinking.
Who will do well here
You’ll likely do well if:
you enjoy solving difficult technical problems
you like backend/systems more than surface-level UI work
you get energy from shipping working things
you care about code quality and reliability
you learn fast and don’t need hand-holding
you want to earn trust through output
You may not enjoy this role if:
you want a slow-paced internship
you prefer heavily structured classroom-style work
you get stuck easily without asking or unblocking yourself
you dislike debugging, production pressure, or ambiguous problems
What success looks like
By Day 30
Understands the problem space, systems, and engineering expectations
Completes reverse-engineering/onboarding training
Demonstrates understanding through a working demo or scoped deliverable
Starts contributing to code with guidance
By Day 60
Builds and ships a backend component, scraper, or system improvement end-to-end
Handles debugging tasks with increasing independence
Understands testing, logging, failure patterns, and core system flows
By Day 90
Owns scoped tasks independently from problem statement to deployment
Handles edge cases, debugging, and communication proactively
Starts becoming someone the team can trust on real execution
By the end of the internship
Has delivered real work in production or production-adjacent systems
Has demonstrated ownership, technical depth, and operating maturity
Is evaluated seriously for PPO based on actual performance, not attendance
Tech environment
Our engineering environment includes technologies such as backend languages, databases, cloud infrastructure, containers, and data tooling. The existing stack in your earlier SDE draft includes Python/Java/NodeJS/TypeScript, AWS services, Postgres/MongoDB, BigQuery, Docker/Jenkins, and related engineering tooling.
You do not need to know every tool in the stack on day one. But you do need strong fundamentals and the ability to ramp fast.
Why join Anakin
High ownership early in your career
Learn how strong engineers debug, ship, and operate under pressure
Build backend and systems depth, not just internship vanity projects
PPO path for high performers
In-office environment where learning compounds faster
Exposure to startup speed, real customer problems, and real technical complexity
What you get out of this
This internship can become a meaningful launchpad.
If you perform well, you will not just “complete an internship.” You will likely come out with:
real backend/systems experience
stronger debugging ability
better engineering judgment
proof of ownership under real conditions
a much stronger PPO case
a stronger profile for future backend, platform, infrastructure, data, or systems roles
A strong performer here should leave with materially better career signal than someone who only did guided college projects.
Candidate FAQs
1) Is this a real engineering internship or mostly training/support work?
It is a real engineering internship. You will be expected to work on actual systems and technical problems, not just shadow or observe.
2) Is this backend only?
The center of gravity is backend/systems/scraping infrastructure. The role is best suited to candidates who enjoy backend engineering, automation, debugging, and infrastructure-style problem solving.
3) Do I need prior internship experience?
No. Strong fundamentals, projects, problem-solving ability, and ownership matter more than brand-name internships.
4) Do I need scraping or reverse-engineering experience already?
Not mandatory, but definitely a plus. Strong backend instincts and the ability to learn fast matter a lot.
5) Which languages are acceptable?
Python and Java are directly relevant, but candidates with solid backend/full-stack foundations in other languages can also be considered. Your earlier draft also reflected openness to broader backend/full-stack language experience.
6) What kind of projects make a candidate stand out?
Projects involving APIs, automation, crawling/scraping, distributed systems, debugging-heavy builds, performance optimization, or thoughtful backend design stand out more than generic CRUD clones.
7) What kind of candidate usually fails in this role?
People who need constant hand-holding, hide when blocked, write code without understanding it, or give up quickly under ambiguity usually struggle.
8) Is office attendance mandatory?
This role is Bangalore-based and in-office. HSR Layout, Bangalore, working from office Monday to Friday.
9) What is the interview process likely to look like?
Historically, the earlier draft suggested a fast process that can close within 1 day, or extend to Day 2 if logistics require it.
11) How is PPO decided?
PPO is earned through actual performance: technical depth, speed of learning, ownership, debugging ability, reliability, and quality of execution through the internship.
12) What are the longer-term exit opportunities from this role?
A strong intern here can grow into:
PPO / full-time backend engineer
platform/infrastructure/data engineering pathways
stronger candidacy for high-bar startup engineering roles
a better profile for systems, automation, backend, and problem-solving heavy roles in future
13) What kind of workplace is Anakin?
High-agency, high-accountability, in-person, builder-led. Good people here usually like speed, direct feedback, ownership, and meaningful work over comfort.
About Anakin
Anakin is building a fully automated pricing engine for eCommerce and on-demand service companies. We help them increase their revenue by upto 12% by optimizing the pricing, products and trends data of their competitors.
We do that by collecting data and generating actionable insights. Our pricing engine automatically changes the prices of hundreds of millions of products across 30+ countries in real-time. Anakin is profitable and growing every month with 15+ multi-billion-dollar companies as clients.
