AI Product & Micro-SaaS Engineering
Full-time · Remote (India)Build typed REST API endpoints and interactive web workbenches for parsing, summarization, and data digestion utilities.
We are a lean engineering team operating out of Uttar Pradesh, India. Zero bureaucracy, zero throwaway prototypes — just high-precision AI utilities built to hold up in daily use.
We keep our team small on purpose. If your craft aligns with one of our core practices below, we would love to review your work and past code repositories.
Build typed REST API endpoints and interactive web workbenches for parsing, summarization, and data digestion utilities.
Engineer custom conversational pipelines, hybrid vector search indices, and Model Context Protocol (MCP) tool servers.
Design fault-tolerant background queues, webhook ingestion systems, and automated enterprise data synchronization pipelines.
NorAI builds software that solves unglamorous problems exceptionally well: parsing resume stacks into structured records, turning multi-hour lectures into revision cards, distilling noisy community channels into action points, and clustering vernacular news feeds.
Remote-first engineering team with our physical development and research hub in Uttar Pradesh.
Zero bureaucracy. Your code ships to production immediately and you own the feature lifecycle end-to-end.
Your work directly powers live resume screening, student lecture digests, and regional employment gazettes.
Deterministic JSON schemas, strict type-safety, and zero AI slop.
We measure output, rigor, and code reliability — not hours logged in a time tracker.
Transparent regional salaries, performance incentives, and hardware/learning allowances.
We respect your time. No 6-round marathon interviews, no whiteboard trivia — just direct technical evaluation of what you have built and can build.
A small, realistic engineering challenge (e.g. building a typed parser or optimizing a tool route) that respects your time.
A 45-minute conversation with our core engineering team walking through your architecture decisions and trade-offs.
A clear, written compensation offer once the team has finished its review, and remote onboarding from day one.