Abrar Admin

Dizzaract FZ LLC

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.Role SummaryWe are seeking a strategic Business Developer with deep expertise in AI models, inference, and MLOps commercialization. You will be responsible for identifying, negotiating, and closing B2B partnerships to monetize our proprietary AI models and inference capabilities. This role sits at the intersection of technology and business &mdash; you will translate complex AI technical value (latency, throughput, model accuracy, cost per inference) into revenue-generating opportunities.Key Responsibilities1. AI Business Development &amp; Partnerships<ul><li>Identify and secure partnerships with enterprises, developers, and platforms needing AI inference solutions (LLMs, computer vision, generative AI for gaming).</li><li>Build a go-to-market strategy for FAR Labs&rsquo; proprietary AI models and inference infrastructure.</li><li>Develop licensing models: API calls, subscription tiers, on-prem inference, or revenue-share agreements.</li><li>Lead the full sales cycle: lead generation, technical scoping, proposal writing, contract negotiation, and closing.</li></ul>2. Monetization of Inference &amp; Model APIs<ul><li>Collaborate with engineering to define pricing strategies based on inference cost (compute, tokens, latency, batch size).</li><li>Package our R&amp;D output (20+ patents, 100+ papers) into sellable AI products: game AI agents, player behavior models, identity verification AI (GAMED).</li><li>Create technical marketing materials: case studies, inference benchmarks, model cards, and demos.</li></ul>3. Market &amp; Competitive Intelligence<ul><li>Track the AI inference landscape: cloud providers (AWS Bedrock, Azure AI, Replicate), open-source models, and emerging competitors.</li><li>Identify gaps where Dizzaract&rsquo;s models outperform in latency, cost, or domain-specific tasks (competitive gaming, real-time AI).</li><li>Provide feedback to R&amp;D on market needs (model size, quantization, edge inference requirements).</li></ul>4. Customer &amp; Technical Engagement<ul><li>Serve as the bridge between external clients and our ML engineering team &mdash; translate business needs into technical requirements (batch vs real-time inference, GPU/CPU tradeoffs, SLAs).</li><li>Support clients with POCs, integration of our inference APIs, and performance validation.</li><li>Collect and prioritize feature requests for our inference stack (scaling, observability, versioning).</li></ul>5. Strategic Growth &amp; OKRs<ul><li>Define and track BD KPIs: number of active partnerships, monthly recurring inference revenue (MRR), customer acquisition cost (CAC), and gross margin per inference.</li><li>Implement a quarterly OKR framework for the BD team aligned with company revenue goals.</li><li>Report directly to COO and the Director of BD on pipeline, forecasts, and strategic deals.</li></ul>Required Qualifications &amp; Skills<ul><li>3+ years in business development, partnerships, or technical sales focused on AI/ML models or inference platforms.</li><li>Strong understanding of inference concepts: model serving, batching, latency vs throughput, token-based pricing, fine-tuning, and quantization.</li><li>Ability to read basic API docs and discuss model performance with engineers (no need to code, but technical fluency is a must).</li><li>Proven track record of closing B2B SaaS or API-based deals, preferably with gaming, media, or security clients.</li><li>Familiarity with AI deployment tools (Hugging Face, TensorRT, vLLM, or cloud inference endpoints) is a strong plus.</li><li>Excellent negotiation, communication, and presentation skills for technical and non-technical audiences.</li><li>Self-starter mindset, comfortable with remote work and fast-paced R&amp;D environments.</li></ul>Final NoteThis role is for a business-savvy AI expert who wants to turn cutting-edge research into real revenue. You will have direct access to 20+ patents, a world-class R&amp;D team, and an emerging AI ecosystem in Abu Dhabi. If you understand inference pricing models, can sell APIs to developers and enterprises, and want to shape the commercial future of AI in gaming &mdash; this is your opportunity.Work Location: In person

Business Developer Executive

Full Org Path: Marketing / CEO OfficeLocation: On-sideEmployment Type: Full-timeCompensation: Competitive + KPI-based bonusesRole SummaryWe are seeking a highly proactive and strategic Brand Growth Social Media Manager to take full ownership of the CEO&rsquo;s personal brand across Twitter (X), LinkedIn, and Instagram. The primary focus of this role is to build, scale, and manage the CEO&rsquo;s personal digital presence as a founder, businessman, and entrepreneur.This role requires a storyteller who can translate deep technical expertise and entrepreneurial vision into compelling, authentic content. You are expected to be a power user of AI tools to streamline content planning, research, and drafting. However, the final output must be 100% human-like. The content must capture the CEO&rsquo;s unique tone, thoughts, and expertise.About CEOKey Responsibilities1) Personal Brand Strategy &amp; Execution<ul><li>Develop and execute a comprehensive, multi-platform personal branding strategy tailored specifically to the CEO's profile on Twitter/X, LinkedIn, Instagram .</li><li>Define and refine the CEO's digital voice, ensuring it is consistently authentic, authoritative, and engaging.</li></ul>2) Proactive Content Ideation<ul><li>Actively monitor industry news, AI breakthroughs, and GameDev trends to proactively suggest topics, threads, and hot takes for the CEO to comment on.</li><li>Take the lead in telling the CEO what content should be prepared for posting, rather than waiting for briefs or directions.</li></ul>3) AI-Assisted, Human-Delivered Content Creation<ul><li>Leverage AI tools extensively for content planning, trend analysis, structuring, and initial drafting to maximize efficiency.</li><li>Relentlessly edit and refine all AI-assisted drafts to ensure the final output is entirely human-sounding, capturing the CEO's authentic voice and avoiding generic &quot;AI-speak.&quot;</li><li>Translate complex technical concepts into accessible, highly engaging social media posts.</li></ul>4) Business Narrative Integration<ul><li>Strategically incorporate updates, milestones, and philosophies from the CEO's businesses (FarLabs, GAMED, Farcana) into the personal brand narrative without making the feeds feel like corporate bulletin boards.</li></ul>5) Community Engagement &amp; Growth<ul><li>Actively manage the CEO's online presence by engaging with key figures in the IT &amp; Startups communities.</li><li>Respond to comments, participate in relevant discussions, and build a loyal, high-quality following.</li></ul>Required Qualifications &amp; Skills<ul><li>Proven experience in spheres related to IT / Gamedev / AI! Proven experience working in startups is required!</li><li>Proven experience in building and managing personal brands for C-level executives, founders, or highly visible figures in the tech industry.</li><li>Deep understanding of the culture, language, and current debates within the Artificial Intelligence communities.</li><li>Exceptional writing and editing skills, with a mastery of tone and format across Twitter, LinkedIn, and Instagram.</li><li>Advanced proficiency in using AI tools for content creation and workflow optimization, coupled with the ability to completely mask the AI's involvement in the final published content.</li><li>Extreme proactivity; a self-starter who brings ideas to the table daily.</li><li>Experience handling sensitive communications and managing community engagement in passionate, fast-moving online spaces.</li></ul>KPIs (First 3 Months)<ul><li>Audit existing social media presence and present a comprehensive 6-month personal brand strategy.</li><li>Establish a seamless, AI-optimized workflow for content ideation, approval, and publishing.</li><li>Achieve a defined percentage increase in organic reach and engagement across Twitter, LinkedIn, and Instagram.</li><li>Successfully launch at least two high-performing, multi-part content series that perfectly capture the CEO's authentic voice.</li></ul>Application Question(s):<ul><li>What is your level of proficiency in English</li><li>Do you have a deep understanding of the current trends, culture, and terminology within the Artificial Intelligence and Startups communities?</li><li>Have you ever independently launched a multi-part content series or thread that went viral?</li><li>How many years of experience do you have managing and growing personal brands for C-level executives or tech founders?</li><li>Do you ensure that AI-assisted content maintains a 100% authentic, human-like voice without sounding like &quot;AI-speak&quot;?</li><li>Are you comfortable proactively pitching daily content ideas and telling the CEO what to post, rather than waiting for briefs?</li><li>Have you previously managed a personal brand for a CEO or founder in the tech, AI, or gaming industry?</li></ul>Experience:<ul><li>Using AI tools for content ideation and drafting: 2 years (Required)</li></ul>Language:<ul><li>English conversational / native (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

Brand Growth Social Media Manager

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.The Mission: An inference network routing millions of requests globally generates a massive, complex data exhaust. You will build the data plane that fuels our routing intelligence, telemetry, and distributed memory systems. To beat OpenRouter, our network needs to route requests intelligently based on real-time hardware metrics and cost analysis without adding latency.What You Will Do:<ul><li>High-Throughput Telemetry: Design pipelines to ingest, process, and analyze millions of telemetry events per second (GPU utilization, TTFT, inter-token latency) from distributed nodes.</li><li>Distributed KV-Cache Architecture: Architect the data layer for distributed KV-cache storage and retrieval, allowing the network to context-switch efficiently across different compute nodes.</li><li>Intelligent Routing State: Build the real-time data stores that power our routing layer, ensuring the network always knows the exact state, cost, and availability of every node globally.</li><li>Ledger &amp; Analytics: Develop the backend pipelines for billing, rate-limiting, and auditing, ensuring airtight data consistency for high-frequency micro-transactions.</li><li>Data Packaging: Ensure all data infrastructure deployments are containerized, immutable, and require zero manual configuration upon deployment.</li></ul>What We Are Looking For:<ul><li>Expertise in high-throughput messaging and streaming systems (e.g., Redpanda, Kafka) and real-time OLAP databases (e.g., ClickHouse).</li><li>Strong proficiency in backend languages (Rust, Go, or Python) with a focus on high concurrency and low latency.</li><li>Experience with vector databases and managing massive, distributed state.</li><li>A strong grasp of distributed consensus algorithms and data replication across decentralized environments.</li></ul>Work Location: In person

AI Inference Data Engineer

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.The Mission: We are building a highly optimized, decentralized AI inference network. To beat the latency and throughput of established centralized players, we cannot rely on off-the-shelf wrappers. You will be responsible for building the bare-metal, ultra-low-latency infrastructure that serves large language models and multimodal networks at unprecedented scale.What You Will Do:<ul><li>Core Engine Development: Architect and write highly optimized, low-level code (primarily in Rust and C) to manage model loading, memory allocation, and request batching across a distributed fleet of GPUs/NPUs.</li><li>Hardware-Aware Optimization: Implement tensor mathematics optimizations and custom kernels (CUDA/Triton) to squeeze maximum FLOPS out of the hardware.</li><li>Zero-Intervention Deployments: Build rock-solid, fully packaged infrastructure pipelines. We operate with zero manual intervention&mdash;no ad-hoc scripts, no PowerShell bandaids. If a node fails, the network must heal autonomously.</li><li>Decentralized Orchestration: Design the peer-to-peer or decentralized routing logic that ensures high availability and optimal load balancing across geographically distributed nodes.</li><li>Advanced Inference Techniques: Implement and optimize techniques like continuous batching, speculative decoding, and paged attention (vLLM, TensorRT-LLM) customized for our specific network architecture.</li></ul>What We Are Looking For:<ul><li>Deep expertise in systems programming (Go) and a strong aversion to bloated, high-level abstractions where performance matters.</li><li>Proven experience with GPU programming (CUDA, ROCm) and low-level hardware architecture.</li><li>Strong understanding of deep learning architectures (Transformers, Mamba) and how tensor operations execute on silicon.</li><li>Experience building highly concurrent, distributed systems with sub-millisecond network latency requirements.</li></ul>Work Location: In person

AI Inference Infrastructure Engineer

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.Who we're looking for:We need an Automator. Not just someone who uses neural networks or a ChatGPT subscriber. We need someone who deeply understands AI at an engineering level. You'll be the person who turns scattered LLMs into a structured, hierarchical army of agents capable of running a business.What you'll do:<ul><li>Prompt Engineering &amp; Architecture:Develop complex, multi-layered prompts with dynamic context, few-shot learning, and self-correction mechanisms. Your code won't just be text&mdash;it will be instructions for AI employees.</li><li>Building &quot;Corporate Claude&quot;:Deploy and configure a corporate AI hub (based on Claude, GPT, open-source models, or local LLMs) that has access to internal documentation, knowledge bases, and company APIs.</li><li>Agent Hierarchy Design:Design a multi-agent system. You'll create a &quot;Director&quot; (orchestrator) that assigns tasks to &quot;Department Heads&quot; (specialized agents), who then manage &quot;Executors.&quot; You'll need to establish clear separation of roles, permissions, and responsibilities across departments (from marketing and development to legal and HR).</li><li>Integration &amp; Automation:Embed AI into CRM systems, databases, corporate messengers, and CI/CD pipelines. Ensure agents don't just chat&mdash;they take action: send reports, approve documents, deploy code, analyze logs.</li></ul>Your skill set (what we expect):<ul><li>Deep LLM Engineering: You don't use AI blindly. You understand tokenization, temperature, logits, system prompts, and RAG (Retrieval-Augmented Generation) from the inside out. You can craft prompts that are resistant to injection attacks and hallucinations.</li><li>Agentic Frameworks: Experience with agent-building frameworks (LangChain, LangGraph, AutoGen, CrewAI, or building custom orchestrators from scratch).</li><li>Backend &amp; API: Strong proficiency in Python or TypeScript. Ability to wrap agents in APIs, configure webhooks, and handle asynchronous operations.</li><li>MCP (Model Context Protocol) or Custom Tools: Expertise in equipping AI with tools and functions. Building tools that interact with the corporate environment.</li><li>Security: Understanding how to enforce access controls so that the sales department's agent cannot delete the development team's database.</li></ul>Conditions:<ul><li>Fully remote.</li><li>Results-oriented.</li><li>Employment Type: Full-time.</li><li>Salary: Competitive + KPI-based bonuses.</li></ul>How to apply: please, as a portfolio share -&gt; <ul><li>A diagram or description of a multi-agent system architecture you've built (or would like to build).</li><li>An example of a complex prompt with function calling (tools) that you've developed.</li><li>Your thoughts on how you would enforce access controls for agents across different departments within a corporate environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT) (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+) &rarr; (0&ndash;5)</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+) &rarr; (0,1,2,3,4)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul>Work Location: Remote

AI Automation Engineer / Architect of Agentic AI (Automator)