Senior Full Stack Engineer
Build AI products. Own the architecture. Ship end-to-end.
We're looking for experienced full-stack engineers with deep Python and JavaScript/TypeScript expertise who are already AI-native. You'll own complex features from architecture to production across our Django backend, Next.js platform, React Native apps, AI agents, and enterprise products.
You'll work directly with the founders, set the engineering bar, mentor junior engineers, and partner with customers to build production systems.
Full-time
1 Opening
5+ Years (Scope shipped matters more than tenure)
Bengaluru (Preferred) / Remote
Client-facing
About CTRLoop
CTRLoop builds AI infrastructure and automation products for the travel industry.
Our products span AI assistants, hotel intelligence, large-scale web scraping infrastructure, pricing APIs, workflow automation, and enterprise software powering travel businesses worldwide.
We believe AI has fundamentally changed software engineering. The best engineers are no longer measured by how much code they write, but by how effectively they use AI to design, validate, and ship high-quality systems.
What You'll Build
AI-native enterprise applications
Large-scale Django APIs
Next.js web platforms
React Native mobile applications
AI agents and workflow automation
Enterprise web scraping infrastructure
Hotel intelligence and pricing systems
Internal developer platforms and automation tools
Customer-facing AI products
How We BuildAI-first engineering
Claude, Cursor and ChatGPT are part of every engineering workflow. AI handles much of the implementation—you own architecture, prompting, validation, debugging and product decisions.
End-to-end ownership
Every feature has a single engineering owner responsible from design through production.
Ship continuously
Small pull requests, rapid iteration and continuous deployment. We optimize for learning velocity over process.
Production-first
Every feature ships with monitoring, analytics and rollback capability. Shipping isn't complete until customers are using it successfully.
Documentation that scales
Clear technical writing,
API contracts and architectural decisions matter because they enable engineers—and AI—to move faster.
What You'll DoOwn Product Development
Lead complex features from architecture through production
Design scalable backend systems using Python and Django
Build production-grade web applications using Next.js and TypeScript
Develop React Native applications for iOS and Android
Build AI-powered workflows and LLM integrations
Design APIs, data models and system architecture
Improve performance, reliability and developer experience
Raise the Engineering Bar
Review architecture, code and technical design
Mentor junior engineers and accelerate their growth
Improve engineering standards, tooling and development workflows
Drive best practices across backend, frontend and mobile
Improve AI-assisted development workflows across the team
Partner with Customers
Work directly with enterprise customers to understand requirements
Translate business problems into scalable technical solutions
Lead implementation of customer-facing projects
Demo features, gather feedback and iterate rapidly
What We're Looking ForMust Have
5+ years building production software
Deep Python expertise (Django preferred)
Solid JavaScript/TypeScript fundamentals
Significant experience with React or Next.js
Experience designing scalable APIs and backend systems
Strong SQL and PostgreSQL knowledge
Experience deploying and operating production systems
Excellent debugging and problem-solving skills
Most importantly
You already use AI coding tools every day.
Cursor, Claude Code, ChatGPT or similar tools should already be a core part of how you build software. We value engineers who know how to direct AI, review its work and validate systems—not simply generate code.
What Impresses Us
Systems you've designed from scratch
Products you've shipped to production
Teams you've mentored
Difficult engineering problems you've solved
Customer-facing software you've owned
Open-source contributions
Side projects that demonstrate technical depth
Working software always beats résumé bullets.
Bonus Points
React Native
AI agents and LLM applications
Browser automation and large-scale web scraping
Docker and Kubernetes
AWS or GCP
Redis and Celery
Event-driven architectures
Observability (Sentry, Grafana, Prometheus)
Product analytics (Mixpanel, PostHog)
Experience leading engineering teams
What You'll GetBuild alongside experienced founders
Work directly with leaders from Amazon who have built and scaled products used by millions.
Own meaningful systems
From architecture to production, you'll own products that power real businesses.
AI-native engineering environment
Join a team where AI is part of every engineering workflow—not an experiment.
Technical breadth
Work across backend, frontend, mobile, AI, infrastructure, scraping, cloud and customer deployments.
Leadership opportunities
Mentor engineers, influence architecture and shape how engineering is done at CTRLoop.
Fast growth
Ownership and impact determine your growth—not hierarchy or tenure.
Hiring Process1.
Intro
Call (30 mins)
Walk us through the most technically challenging system you've built.
- Paid Design & Build Challenge
You'll receive a real product requirement.
Using AI coding tools is expected.
We'll evaluate how you design systems, collaborate with AI, make technical decisions and deliver production-quality software.
3.
Technical Deep
Dive
We'll discuss architecture, trade-offs, debugging approach and engineering decisions behind your implementation.
- Offer
Fast.
Ready to Apply?
Email
[email protected] with:
Resume
GitHub
LinkedIn
Portfolio (if applicable)
Links to products and systems you've built
Tell us about the most technically challenging thing you've shipped.
Working software beats credentials. Engineering judgment beats interview trivia.
📌 Full Stack Engineer (Bengaluru)
🏢 CtrLoop
📍 Bengaluru