AI Product Engineer(Platform)

We're hiring: Product AI Engineer (Platform) — Rust / Go — UAE / GCC

Myndlab.ai is an AI-powered application builder developed by UAE-based Permus Software House. It functions as a platform that allows developers, founders, and product teams to generate production-grade code for websites, applications, and dashboards using natural language prompts.

As a Product AI Engineer (Platform), you will:

• Design and ship high-performance backend services in Rust and/or Go that power our multi-agent orchestration engine.
• Build out our distributed,  multi-tenant microservices  architecture — event-driven services, shared platform packages, and the contracts that hold them together.
• Work directly on our in-house agentic graph framework — the part of the system that lets agents plan, act, and recover.
• Own features end to end: from the orchestration internals and gRPC/REST APIs to the platform surfaces customers actually use.
• Make real architecture calls, not tickets handed down — we're small, flat, and you'll be heard.

Who we're looking for:

• Roughly  4–6 years  building production software — though we care far more about what you've shipped than the number. Show us the work.
• People who see  AI as a productivity multiplier, not a threat  — and who code that way day to day.
• Comfortable learning, unlearning, and moving fast. You research independently and deliver end to end.
• Long-term builders  who want to commit to a product and see it through — not collect a logo and leave.
• Based in the  UAE / GCC , able to start immediately or soon.
• Strong communicator with the ability to convey complex ideas clearly
• Team player

Technical Requirements:

• Strong in a  strongly-typed, compiled language — Rust or Go  (one of them solid, the other learnable).
• Distributed systems and microservices : clean service boundaries, async/event-driven communication, and API design over  gRPC or REST .
• Comfort with a  message/event-streaming system  — Kafka, NATS/JetStream, RabbitMQ or similar; any one is fine.
• Solid data fundamentals on a  relational database  (PostgreSQL, MySQL or equivalent); bonus for  embeddings and vector search(Qdrant/Pinecone etc.) .
• Ship and operate what you build:  containers and orchestration  (Docker, Kubernetes) on  any major cloud  (Azure, AWS or GCP), with CI/CD and  observability  (OpenTelemetry, Prometheus, Grafana — any stack).
• Sensible handling of  auth, multi-tenancy and secrets  — JWT/OAuth, RBAC, and a secrets manager (Vault or a cloud KMS).

The AI craft (have it, or be hungry to learn it fast):

• Agentic AI frameworks  — ideally  Go/Rust-based  (Rig, Eino, Genkit, or building without a framework at all); experience with the Python ones (LangGraph, CrewAI) still counts.
• The  LLM toolkit : prompt engineering, context management, embeddings and retrieval (RAG), and a working grasp of how ML models behave — enough to reason about  why  an agent did what it did.
• Running models locally  (Ollama, llama.cpp, vLLM or similar) and wiring LLMs — local or hosted — into real services.

What you get:

Frontier problems, real ownership, customers using what you ship in weeks rather than months — and a front-row seat to building an AI platform from first principles rather than gluing libraries together.

If this sounds like you, send us a DM or drop a note to  careers@myndlab.ai  with one thing you've built that you're proud of. Doesn't have to be AI — we want to see how you think and the quality of your craft.

Let's build!