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Support the Compliance & MLR Officer in implementing and maintaining the AML/CFT compliance framework aligned with UAE AML Law and applicable guidance set out by UAE regulators.
Assist with ongoing compliance with FATF standards and virtual asset-specific regulatory expectations.
Coordinate with free zone and federal regulators for inspections, audits, and information requests.
Assist in local oversight of global processes and procedures, including, but not limited to, transaction monitoring (fiat and onchain) and market surveillance.
Oversee day-to-day transaction monitoring alerts and investigate unusual or potentially suspicious activity.
Draft Suspicious Transaction Reports (STRs) and Suspicious Activity Reports (SARs) for review and submission by the MLRO to the UAE Financial Intelligence Unit (GoAML).
Support the development and tuning of automated monitoring systems
Assist in drafting and updating AML/CTF policies, procedures, and risk assessments.
Deliver AML/CFT awareness training to staff and provide ongoing guidance on regulatory developments.
High attention to detail and investigative mindset.
Strong communication skills, with the ability to distill complex compliance matters for internal and external stakeholders.
Ethical, discreet, and able to handle sensitive information with integrity.
Proficient in compliance tools, case management systems, and blockchain forensics platforms (e.g., Chainalysis, Elliptic) is a plus.
A bachelor's degree in Finance, Law, Business Administration, or a related discipline.
Minimum 8 years of experience in compliance, AML/CFT, or regulatory affairs, with a focus on the financial services or related industries within the MEASA region.
Experience with regional regulators: VARA, CBUAE, SCA, FSRA, etc.
Strong analytical and problem-solving skills, with a proactive approach to identifying, addressing, and preventing compliance risks.
Ability to work under pressure and meet tight deadlines, with a willingness to work long hours when necessary.
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We are looking for an AI Agent Engineer to join our team as part of Tech Seeds 2026. This is an engineering-first role for someone who wants their work to have real-world impact — not just demos, but agent systems that ship. You will work alongside senior engineers to design and build AI agents, workflows, and internal AI systems that improve our products and operational efficiency. This role is especially suited for candidates who are curious, fast learners, and excited to build practical AI systems in production. Production agent design today is typically centered on clear tool integration, strong instructions, safe execution, and iterative rollout, rather than purely academic model work.
What You'll Do
Design and build AI agent workflows and LLM-powered systems for real business use cases
Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
0–3 years of software engineering, AI engineering, or relevant internship/project experience
Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
Good software engineering judgment, including APIs, debugging, system design, and data handling
Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
Ability to learn new domains quickly and work effectively in ambiguous environments
Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
Good communication skills and the ability to connect technical work to business value
Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
Experience with backend systems, cloud environments, observability, or production support
Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processes
You are self-driven, AI-native, and practical. You learn fast, like solving real problems, and are excited to turn new ideas into working systems. You do not wait to be told every step: you explore, test, iterate, and improve.
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Own the product strategy and roadmap for Staking products — covering native, liquid, and pooled staking — with a focus on protocol integrations, user growth, and revenue contribution
Define and manage token strategy, APR pricing models, and project partnership initiatives to strengthen product competitiveness and expand the supported asset universe
Drive growth through data: own core metrics including TVL, APR, utilization, revenue, and user retention — and translate insights into prioritized product improvements
Manage DeFi partnership opportunities for Onchain Earn, coordinating integration across CeFi and on-chain infrastructure
Lead cross-functional execution with Marketing, BD, Risk, and Legal to drive product adoption and go-to-market strategies
2+ years of product operations and growth experience in CEX / DeFi / yield products.
Deep understanding of staking mechanics: validator economics, liquid staking tokens (LST), APR composition, and on-chain yield infrastructure.
Exceptional cross-functional coordination, project management, communication, relationship management, and organizational skills.
Strong user insight and innovative thinking, capable of translating user needs into product features
Fluent in Mandarin; working-level English for cross-team and partner communication
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Build observability, automation, and AIOps foundations. Focus on deliverable output, reusable assets, and support-driven product improvement.
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User Acquisition & Lifecycle: Own the Futures FTD funnel end-to-end. Design and run lifecycle campaigns (Trade & Win, vouchers, pay tasks) that drive first-time deposits, retention, and active trader growth.
Growth Product Design: Own the design of growth instruments — position vouchers, trade-to-earn mechanics, onboarding tools. Write BRDs, define parameters (leverage, margin, expiry), coordinate with Product/Engineering to ship, and benchmark against competitors.
User Acquisition & Lifecycle: Own the Futures FTD funnel end-to-end. Design and run lifecycle campaigns (Trade & Win, vouchers, pay tasks) that drive first-time deposits, retention, and active trader growth.
Campaign Operations: Run a high-cadence campaign calendar (2+/month). A/B test mechanisms, track ROI, iterate on retention cohorts. Zero incidents through rigorous QA.
Product Marketing: Collaborate with CMKT to plan and execute go-to-market for new Futures features and asset classes — CRM, social, KOL, user education. Drive adoption from awareness to first trade.
Data & Reporting: Use funnel analytics and user segmentation to find growth levers. Set KPI targets from benchmarks, report weekly on FTD, WAU, retention, and CP contribution.
Cross-functional Coordination: Bridge Growth Ops, Product, Central Platform, Marketing, BD, and Regional teams. Unblock voucher infra, reward distribution, and tooling dependencies.
Experience: 5+ years in product operations or growth marketing at a crypto exchange, fintech, or trading platform. Track record running campaigns that move user acquisition metrics. Derivatives experience (perps, options, structured products) strongly preferred.
Campaign Expertise: Designed and scaled high-frequency campaigns. Comfortable with A/B testing, multi-channel GTM (CRM, push, social, KOL), and campaign QA at pace.
Analytical: Can do cohort analysis, funnel diagnostics, and ROI calculations independently. Sets targets from data, not intuition.
Product Sense: Can write a BRD, define UX requirements, and work with engineers. Understands how tool design (voucher mechanics, reward logic) drives user behavior.
Execution: Outcome-oriented, high ownership. Manages 3+ cross-team workstreams simultaneously without dropping balls. Weekly delivery cadence is normal, not stressful.
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