AI Solutions Specialist (GenAI & AI Agents)
⚲ Hong Kong
Do uzgodnienia
Wymagania
- Claude
- Gemini
- Cursor
- Claude Code
- Python
Opis stanowiska
Nasze wymagania:
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.
Zakres obowiązków:
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 different business functions, including 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.
Zakres obowiązków:
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 different business functions, including 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.
🔍 Dekoder Ogłoszenia
🟡
1–3 years of experience building AI applications, AI Agents, or workflow automation solutions.
Może oznaczać zarówno doświadczenie komercyjne, jak i projekty hobbystyczne, co czyni wymaganie elastycznym.
🟡
Hands-on experience with leading AI models such as OpenAI (GPT), Openclaw, Claude, Gemini, DeepSeek, Qwen, Llama, or similar LLMs.
Wymaganie 'lub podobne' daje dużą swobodę w interpretacji, co może oznaczać znajomość nawet mniej popularnych modeli.
🟡
Familiarity with AI Agent frameworks, Agentic AI Concepts (planning, tool-using agents, retrieval-augmented generation) — practical exposure or side projects acceptable.
Podkreślenie 'praktyczne doświadczenie lub projekty poboczne' sugeruje, że formalne doświadczenie zawodowe nie jest kluczowe, a wiedza teoretyczna poparta praktyką jest wystarczająca.
🔴
Experience building multi-agent systems, workflow automation platforms and or deploying AI applications into production environments.
Część 'lub wdrażanie aplikacji AI do środowisk produkcyjnych' może być kluczowa i sugerować bardziej zaawansowane zadania niż tylko budowanie prototypów.
🟡
Strong analytical, problem-solving, and communication skills, with a passion for learning and applying emerging AI technologies.
Standardowe wymagania miękkie, które w praktyce mogą być trudne do zmierzenia i często są powierzchownie weryfikowane.