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BraindAI in India is seeking an AI Engineer who can own projects end-to-end, from brief to production, with minimal hand-holding. You will read briefs, design robust solutions, and ship reliable code that leverages Claude Code for speed and quality.
You will work across insurance, cybersecurity, healthcare, and professional services, building AI systems with Supabase, PostgreSQL, and serverless functions, emphasizing reliability, automation, and measurable client impact.
BraindAI builds custom AI automation systems for businesses across insurance, cybersecurity, healthcare, and professional services. We are not a product company. We are not an agency. We are a team of builders who embed deeply into a client's operations, understand how their business actually runs, and then architect AI systems that create real, measurable impact.Our tech stack is modern and practical: n8n for workflow orchestration, Supabase and PostgreSQL for data, Claude and OpenAI APIs for intelligence, Next.js and React for frontend, and Notion as our operational backbone.We move fast, ship constantly, and hold ourselves to a high bar.We are a small team. That means every person matters enormously. There is no place to hide, and no need to. If you do great work, everyone sees it. If you ship something that breaks, everyone sees that too. We want people who thrive in that environment.
Compensation- INR 1,00,000 - 1,75,000 Per Month
We need an AI Engineer who can own projects end-to-end. Not someone who waits for instructions, asks what to do next, or needs hand-holding. We need someone who reads the brief, understands the problem, thinks through edge cases, builds the solution, tests it properly, and ships it with confidence. Then does it again on the next project.The bar is high. You should be the kind of person who uses AI tools like Claude Code to move at 100x speed -- not as a crutch, but as a multiplier on top of already strong fundamentals. You should be comfortable working across the full stack, from database architecture to API design to frontend polish. And you should care deeply about the quality of what you ship, because at our scale, your work goes directly to clients.
Build complete AI systems for clients across insurance, cybersecurity, healthcare, and other sectors. These are not toy projects. They involve real data, real users, and real business outcomes.
Design and implement backend architectures using Supabase, PostgreSQL, and serverless functions. You will own data models, API design, authentication flows, and system reliability.
Create workflows that orchestrate complex multi-step automations: API calls, data transformations, conditional logic, error handling, webhook integrations, and scheduled triggers.
Integrate AI models (Claude, OpenAI) into production systems with proper prompt engineering, output validation, fallback handling, and cost management.
Build frontend interfaces - when needed, using Next.js, React, and Tailwind. Dashboards, admin panels, client-facing portals. These should look polished and professional, not like side projects.
Own quality from start to finish - You test your own work. You catch edge cases before anyone else does. You do not ship and hope for the best. If something breaks in production, you own the fix immediately.
Live in and Work with Claude Code - This is not optional. Claude Code is how we build at BraindAI. You will use it every single day to ship faster, debug smarter, and handle complexity that would otherwise take 10x longer. You need to already be an active, daily user who understands how to prompt effectively, when to trust the output, and when to override it. We are not looking for someone who will "learn it on the job."
Build systems that make the entire team faster - Beyond your own projects, you will create reusable workflows, prompt templates, internal tools, and automation that raise the output of everyone around you. If you find a pattern that works, you productise it. If a process is manual and repetitive, you automate it. Your impact should extend beyond the code you write for clients.
Work within our Delivery Engine- Notion-based project management, async Loom reviews, Slack comms, structured cycles. You will follow the system, not create chaos outside of it.
Cycles, not sprints- Work is organized into 1-2 week cycles with clearly defined features. You pick up features, build them, record a Loom walkthrough, and submit for review.
Quality gates before shipping - Every feature goes through AI validation and PM review before it reaches the client. We catch problems early, not in production.
Ownership culture - You own your projects. You own your code quality. You own your deadlines. If you need help, ask. If you are stuck, say so. But the default expectation is that you drive your work forward.
Transparency over ego - We value people who say "I do not know how to do this yet, but I will figure it out" over people who pretend to know everything and deliver nothing.