About N71.ai

N71 is building the memory and context layer for AI agents. We sit across the AI tools a company already uses, connect them through MCP, and hold a knowledge graph underneath so context persists and compounds across systems and teams. Instead of every agent starting from zero, the whole stack shares one memory.

We are an early-stage company based in Abu Dhabi, building for the Gulf and beyond. The product is technical and the problems are real: graph storage and retrieval, context that persists across agents, governed access to sensitive data, all of it fast and reliable. This is a chance to work on the core of that system early in your career and grow fast.

The role

This is an early engineering hire, reporting to our technical co-founder and working alongside a small, senior team. You will build, ship, and own real parts of the product from day one.

You will not be managing anyone. The job is to write good code, learn quickly, and take ownership of the pieces you work on. This is a strong fit for someone early in their career who wants to build serious systems, work closely with experienced engineers, and grow faster than they would on a big team.

What you will do

• Build features across the memory and context platform, including the knowledge graph, retrieval, and our MCP integrations.
• Write, test, and ship production code alongside the team.
• Debug, improve performance, and help keep the system reliable.
• Contribute to the work that lets agents access sensitive data safely.
• Learn the stack quickly and take real ownership of the parts you build.

What you bring

• 1 to 3 years of software engineering experience, or strong personal or open-source projects if you are earlier in your career.
• Solid fundamentals in at least one backend language, plus comfort with APIs and data stores.
• A genuine appetite to learn, ship, and own your work.
• Clear communication and the ability to ask good questions.
• Comfort with ambiguity and a fast-moving early-stage environment.

Nice to have

• Exposure to knowledge graphs or graph databases.
• Work with LLMs, AI agents, or retrieval systems.
• Familiarity with MCP or similar integration protocols.
• Interest in security, access control, or data governance.