GenAI Engineer, AI Builder, Agent Associate, Application Specialist

Build AI-powered workflows and AI Agents to automate business processes and improve operational efficiency across multiple functions, with initial focus on AI and Risk Management.

• AI Agent & Workflow Development: Design, build, and maintain AI Agents for business operations
• Develop monitoring, logging, and observability for agent behaviors and safety rules
• Develop AI-powered workflows that automate repetitive business processes
• Translate business requirements into practical AI solutions
• Build scalable AI applications that improve productivity and operational efficiency
• Integrate AI solutions with internal systems and third-party platforms
• Business AI Applications: Develop AI solutions across Risk Management, Testing, Marketing, Operations and Customer Support
• Identify opportunities where AI can automate manual work, improve decision-making, and streamline business operations
• AI Development: Build AI applications using modern Large Language Models (LLMs)
• Design prompts, AI workflows, and multi-agent solutions for different business scenarios
• Develop solutions using RAG, MCP, Function Calling, Memory, and Tool Calling
• Integrate LLM APIs into internal platforms and automation pipelines
• Build AI workflows using both code-based and low-code/no-code platforms where appropriate
• Continuously evaluate emerging AI technologies and recommend practical business applications

• 1–3 years of experience building AI applications, AI Agents, or workflow automation solutions
• Hands-on experience with leading AI models such as OpenAI (GPT), Openclaw, Claude, Gemini, DeepSeek, Qwen, Llama, or similar LLMs
• Experience using modern AI development tools such as Cursor, Claude Code, Codex, Gemini CLI, Genspark, Manus, OpenHands, or similar AI-assisted development tools
• Familiarity with AI Agent frameworks, Agentic AI Concepts (planning, tool-using agents, retrieval-augmented generation) — practical exposure or side projects acceptable
• Experience integrating AI solutions with APIs, third-party services, or internal business systems
• Basic programming skills in Python and familiarity with prompt engineering, AI workflow design, or RAG
• Experience building multi-agent systems, workflow automation platforms and or deploying AI applications into production environments
• Experience in FinTech, Trading, Risk Management and or digital asset
• Strong analytical, problem-solving, and communication skills, with a passion for learning and applying emerging AI technologies
• Ability to communicate effectively in English, Strong analytical thinking, problem-solving ability