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This is a remote position.
Shuru is an AI-native engineering services company building products with leading startups, enterprises, and well-funded scale-ups across India, Southeast Asia, the UAE, and global markets. Our engineers work in small, dedicated squads, ship in weekly cycles, and use AI-assisted development tools (Cursor, Claude Code, GitHub Copilot) as a standard part of how we build. We hire for fundamentals, give engineers real ownership, and back them with a culture that respects deep work.The Role
We're looking for a full-stack product engineer who thrives in 0→1 environments. You'll be embedded with a client's founding team, owning architecture decisions and shipping production code on a weekly cadence. This is a high-ownership role where you'll work directly with stakeholders, not behind layers of project management. This also means that you should be inquisitive about business decision in addition to technology.
What You'll Do
Own and build production systems end to end - backend, frontend, data layer, and infrastructure
Design and implement AI-powered workflows using LLMs, retrieval systems, and automation pipelines
Build and maintain CI/CD pipelines, cloud infrastructure (AWS), and deployment automation
Set up monitoring, logging, and alerting so the systems you build stay healthy in production
Integrate with third-party APIs and enterprise systems (CRMs, messaging platforms, identity providers)
Translate ambiguous requirements into shipped product - you don't wait for a perfect spec
Must-Haves
3–5 years building and shipping production systems at scale
Proven 0→1 experience - you've taken something from blank page to real users
Full-stack range: comfortable across data, backend, frontend, and infrastructure
DevOps fluency: containerisation, CI/CD, cloud services (AWS preferred), IaC
Working experience with AI/ML in production - you have opinions on when to fine-tune vs. prompt vs. orchestrate
Fluent with modern AI tooling (Claude Code, Cursor, Copilot) and can ship fast with them
Strong engineering fundamentals from a reputed engineering program
Good to Have
Enterprise SaaS background (SSO, RBAC, SOC 2, GDPR)
Data engineering experience - ETL, warehousing, entity matching
Prior startup or early-stage experience
Who You Are
High ownership. You make calls with adequate data and fix problems you weren't asked to fix.
Genuinely curious. You go deep on things you don't know and come back sharper.
Low ego, high standards. You'd rather be right than be the one who was right.
You actually use AI tools in your daily life, not just at work.
