A global AI-first startup — backed by a $10M Pre-Seed round and contracts reportedly at 100M+ RMB scale — is hiring a Full-Stack Engineer in Dubai to build their Sales AGI product end-to-end across IM channels, backend state management, queues, data pipelines, frontend, and agent workflows. This is a rare, high-ownership role offering ¥500K–¥800K annual cash, performance bonus, project bonus, equity, and company-provided Dubai housing — for an engineer ready to build AI agents that negotiate, close, and deliver like humans at scale.
About the Company — Global AI Sales AGI Builder
Mission: Build commercial AI agents that reach, negotiate, close, and deliver at human-level sales behaviour
Funding: $10M Pre-Seed completed — contracts at 100M+ RMB scale signed
Customers: Crypto exchanges, Web3/RWA platforms, cross-border advertising teams — paid beta
Team: Small, flat, high-ownership — CTO and founder-close execution model
Channels: Real IM platforms and voice channels — production-grade reliability required
Compensation & Benefits Package
Annual Cash: ¥500,000 – ¥800,000 based on experience and demonstrated ability
Bonuses: Performance bonus + project-specific bonus on top of base salary
Equity: Stock / equity participation available — genuine stake in what you build
Housing: High-end Dubai housing fully provided by the company
Visa: Work visa support provided for successful candidate
Position Overview
The Full-Stack Engineer (AI Agents / Sales AGI) role in Dubai is not a typical engineering job. You will own the entire product surface area — from backend state management and message queues to React frontend interfaces and AI agent workflow integrations — for a Sales AGI platform that is already serving paid beta customers across crypto, Web3, and cross-border commerce. You will be shipping features, not just reviewing tickets.
The company’s core bet is that Sales AGI becomes transformationally valuable when AI agents can handle acquisition, outreach, negotiation, closing, and delivery across real IM and voice channels with production-grade reliability and genuine human-level sales behaviour. Your engineering work will determine how fast that vision becomes reality — and your equity will reflect how much value you create.
Why This Role Matters: Most AI products are still demos. This team is shipping to paying customers on live IM and voice channels right now — with a $10M Pre-Seed and 100M+ RMB in signed contracts. As the Full-Stack Engineer, you are not building infrastructure for a future product. You are building the product. Your code will close real deals, handle real negotiations, and deliver for real enterprise clients across crypto, Web3, and cross-border commerce in 2026. This is what building at the frontier actually looks like.
Key Responsibilities
Sales AGI Feature Development
- Build and ship Sales AGI features end-to-end — spanning the full commercial lifecycle from acquisition and outreach through negotiation, closing, and post-sale delivery — directly in production against real paying customers
- Design and implement agent workflows that integrate seamlessly with real Instant Messaging (IM) platforms — enabling AI sales agents to operate in the same channels where actual business conversations happen at scale
- Develop voice-adjacent integrations and workflows where required — extending the Sales AGI platform’s reach across both text and voice-based communication channels
- Take complete feature ownership from initial design through development, testing, deployment, and monitoring — operating with the autonomy and accountability of a founding engineer on a high-growth AI product
Backend Architecture & State Management
- Own backend state management, message queue design, caching strategy, PostgreSQL and Redis data modelling, and system performance under high concurrency — ensuring the Sales AGI platform operates reliably at production scale
- Design and implement resilient, scalable backend architectures that support real-time AI agent decision loops, concurrent conversation handling, and reliable message delivery across IM and API surfaces
- Build and maintain data pipelines that feed agent context, conversation history, and performance signals back into the system — enabling smarter, more adaptive AI sales behaviour over time
- Diagnose and resolve performance bottlenecks under high-load conditions — ensuring the platform maintains low latency and high throughput as the customer base and conversation volume scale
Frontend Development & Full-Stack Delivery
- Ship frontend functionality independently using React or a comparable mainstream frontend framework — delivering polished, functional product interfaces without needing a dedicated frontend engineer to unblock you
- Build internal tooling, agent monitoring dashboards, and customer-facing product surfaces that give the team and its clients visibility into how the Sales AGI is performing across live deployments
- Collaborate directly with the CTO and founders on product architecture decisions — contributing engineering judgment to strategic product choices, not just implementation details
- Maintain clean, well-tested, and well-documented code across the full stack — ensuring the codebase stays maintainable as the team scales and the product becomes more complex
AI Agent Integration & LLM Judgment
- Integrate LLM and agent frameworks into the Sales AGI platform — making well-reasoned decisions about when code should own behaviour vs when a model should, to achieve reliable, predictable agent performance at scale
- Work with tools including Claude Code, Codex, or similar AI coding assistants to accelerate development velocity — demonstrating fluency with the AI-native engineering workflow that defines high-performance teams in 2026
- Evaluate and integrate relevant LLM APIs, agent orchestration frameworks, and IM platform SDKs — expanding the platform’s capabilities while maintaining the production reliability that paying customers depend on
- Contribute to defining the agent evaluation framework — helping the team measure, test, and continuously improve AI sales agent behaviour across negotiation, objection handling, and closing scenarios
Requirements & Qualifications
Core Technical Requirements
- 3–5 years of strong, hands-on full-stack development experience with a proven track record of shipping production-grade products independently
- Strong proficiency in at least one of TypeScript, Go, or Python — candidates with TypeScript experience in particular will be viewed very favourably given the platform’s current stack
- Backend depth in high-concurrency state management, message queues, caching, PostgreSQL, and Redis — able to design and debug distributed backend systems under real production load
- Frontend capability in React or another mainstream framework — able to independently deliver frontend features without waiting for a dedicated frontend resource
AI & Agent Engineering Skills
- Practical familiarity with Claude Code, Codex, or similar AI coding tools — actively using AI-assisted development as part of a standard engineering workflow
- Basic but sound LLM and agent judgment — understanding when deterministic code should control behaviour and when an LLM should make the call, and being able to implement either path confidently
- Experience building or integrating features in AI agent, chatbot, or automated messaging systems — particularly on IM platforms or voice-adjacent channels — is a strong bonus signal
Why This Full-Stack AI Role in Dubai Is Exceptional in 2026
Most AI startups are still pre-revenue. This team is not. With a $10M Pre-Seed, paid beta customers across crypto and Web3, and contracts reportedly at 100M+ RMB scale, this is a company that has moved well beyond concept and demo stage — and is now scaling a product that genuinely works in production. For a Full-Stack Engineer who wants to build AI agents that close real deals, this combination of technical depth, commercial traction, and equity upside is exceptional.
Based in Dubai with company-provided housing, a visa, competitive cash compensation of ¥500K–¥800K, bonuses, and equity, this role removes almost every friction point that typically makes joining an early-stage startup feel risky. You focus entirely on building world-class AI sales agents — and you share meaningfully in what you create. If you are a strong full-stack engineer who wants to own something real in the AI space, this is one of the best opportunities available anywhere in 2026.
Who Should Apply?
- Full-Stack Engineers with AI Curiosity: 3–5 years of strong product engineering experience who want to build at the frontier of AI agents and Sales AGI
- TypeScript / Go / Python Engineers: With deep backend experience in PostgreSQL, Redis, and high-concurrency distributed systems who can also ship frontend with React
- AI-Native Builders: Who actively use Claude Code, Codex, or similar tools and have strong judgment about when to use LLMs vs deterministic code in production systems
- Startup-Ready Engineers: Comfortable with high ownership, flat team structure, founder-close execution, and the pace of a well-funded early-stage AI company with paying customers
- Dubai-Based or Relocating Engineers: Ready to join on-site in Dubai with company-provided housing, visa support, and equity in a $10M-backed AI startup with real revenue traction
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