Senior AI Engineer - Multi-Agent Systems & Collaboration

AI Engineer

🏢 Company: Estidama AI

📍Location: Abu Dhabi, UAE

💼 Type: Full-time, on-site

💵 Salary: AED 25k - 35k per month (NET)

🔹 Visa, health Insurance and relocation assistance provided

Role Overview

We're building multi-channel AI agent systems for real users — both consumer-facing and

enterprise clients. This role isn't primarily about writing code. It's about designing agents that

genuinely collaborate with each other, making users feel remembered across channels and

sessions, and having the product and client judgment to know how a system should actually

ship.

Core Responsibilities

• Design multi-agent collaboration architectures spanning more than one paradigm — not just a supervisor calling sub-agents, but able to reason through peer-to-peer coordination, shared memory, and arbitration between agents when their outputs conflict
• Design cross-session, cross-channel memory (WhatsApp / Telegram / Web / Voice, etc.) so users feel continuity no matter where or when they return
• Define MVP scope and value metrics for agent capabilities from a product standpoint, rather than passively executing requirements

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• Establish pre-launch testing baselines: golden datasets, evaluation, regression, and go/no-go criteria for every agent capability before it ships
• Join client meetings independently — gather requirements, explain solutions, and run demos
• Translate real business scenarios (customer support, operations, audit, compliance, documentation) into runnable agent workflows

Requirements

Must-have

• Hands-on experience designing multi-agent systems, able to articulate more than one collaboration paradigm and when each applies

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• Experience shipping consumer-facing or multi-channel products (super-apps, multi-channel support, etc.), with product/UX judgment to back design trade-offs
• Fluent daily use of AI-native tools — ChatGPT, Claude, Codex/Cursor, meeting and documentation agents — as part of your actual workflow, not just familiarity
• A test-first engineering habit: proactively builds evaluation/regression harnesses rather than shipping once it "seems to work"
• Comfortable facing clients directly — requirements gathering, solution walkthroughs, live demos

Nice-to-have:

• Agent deployment experience in fintech, banking, or compliance-heavy environments
• Concrete experience with cross-session memory architecture and cross-channel state synchronization
• Active tracking of new models, frameworks, voice technologies, and emerging agent patterns