AI Agent Architect

At Bybit, you'll architect the next generation of financial-grade AI Agents at an inflection point where AI is fundamentally reshaping financial infrastructure. As AI Agent Architect, you define how intelligent Agents perceive market signals, plan execution paths, retain business context, and orchestrate across systems. You'll lead the construction of Agent capabilities purpose-built for real financial scenarios: trading intelligence, risk assessment, compliance monitoring, and smart user services, engineered to operate autonomously in crypto finance's high-velocity, high-stakes, and high-compliance environment. This role carries genuine technical ownership and directly shapes the experience of hundreds of millions of users.

What you'll do

• Lead the architectural design of the AI Agent layer, defining agent execution models, lifecycle management, and resource isolation strategies on the Openclaw platform; build foundational Agent capabilities powering trading intelligence, risk assessment, and compliance monitoring, engineered for high-concurrency, low-latency, and regulatory-grade reliability.
• Translate complex financial use cases such as trading signal analysis, risk identification, regulatory compliance, and intelligent customer service into production-ready Agent workflows; design task planning chains (ReAct / Plan-and-Execute), fallback and error recovery mechanisms, and result validation frameworks that accelerate the path from PoC to production.
• Contribute deeply to the architectural evolution and performance optimization of the Openclaw Agent Runtime; design the plugin ecosystem, capability registry, and multi-agent orchestration mechanisms to reduce onboarding friction for product teams and improve platform extensibility and reusability.
• Build a standardized tool-calling framework connecting Bybit's internal trading engine, risk systems, data platforms, and external APIs; design tool permission controls, call-chain tracing, and error recovery; integrate standards such as MCP to unify a financial-grade heterogeneous tool ecosystem.
• Lead the observability stack for Agent systems, including trace monitoring, evaluation pipelines, cost tracking, and latency governance; establish quality baselines and regression testing frameworks for financial Agent scenarios, continuously improving system stability and interpretability.
• Track and internalize cutting-edge Agent research, translating advances into AI engineering practice; define team-wide Agent development standards and best practices; drive AI-native engineering capability uplift through code reviews, technical sharing, and architectural reviews.

What you bring

• 3+ years of AI systems development experience, including 1+ year of production experience with Large Language Models (LLMs), RAG systems, or Agent frameworks; hands-on development and optimization experience with Openclaw, including familiarity with its Agent Runtime architecture, plugin ecosystem, and multi-agent orchestration mechanisms.
• Strong distributed systems design skills including microservices architecture, message queues (Kafka / RabbitMQ), and async task scheduling; capable of independently driving the full decision chain from requirements analysis through architecture design to technology selection.
• Proficiency in at least one backend language (Golang, Java, or Node.js); solid REST API design and containerized deployment skills (Docker / Kubernetes).
• Strong grasp of Transformer architecture, Attention mechanisms, and advanced Prompt Engineering (CoT, Few-shot, Structured Output); experience with major model APIs (OpenAI, Anthropic Claude, Google Gemini) and local deployment solutions (Ollama, vLLM).
• Strong software design fundamentals (design patterns, unit testing, CI/CD); hands-on experience building LLM evaluation frameworks or Agent tracing pipelines (LangSmith, Phoenix, or Langfuse).

Nice to have

• Experience combining MCTS, A*, or Reinforcement Learning (RL) with LLMs for planning and reasoning; familiarity with SFT / RLHF training pipelines.
• Proven Agent system deployments in high-complexity vertical domains such as Finance, Web3, or Compliance, with an understanding of domain-specific constraints on Agent design.
• Open-source contributions or publications in NeurIPS, ICML, ACL, or ICLR on Agent, RAG, or LLM-related topics.
• Experience with multimodal Agent development, including vision-language understanding and unstructured document parsing (PDFs, financial reports, research papers).
• Familiarity with MCP (Model Context Protocol) or prior involvement in designing and implementing Agent communication standards.

What we offer

• Study Growth Fund to support your professional development and continuous learning
• Regular team-building activities, workshops, and events designed to promote collaboration and innovation
• Diverse, international team environment working alongside colleagues from around the world
• Career advancement opportunities within a rapidly expanding global company
• Internal mobility and job opportunities to help you build your long-term career path

About Bybit

Established in 2018, Bybit is one of the world's leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3, connecting users to the future of digital finance.