2 days ago
Kuala Lumpur, MalaysiaStaff+
Responsibilities
- Design and implement user incentive, experience-improvement, and business-automation solutions, owning requirements, design, development, testing, rollout, operations, and evaluation.
- Develop financial and incentive modules covering monetary calculations, disbursement, state transitions, idempotency, consistency, failure compensation, reconciliation, and auditing.
- Build and productionize AI applications, AI-powered user experiences, AI agents, and agentic workflows integrating models, tools, and internal systems.
- Establish evaluation, observability, safety controls, context and state management, recovery mechanisms, budget controls, human intervention, permissions, and deterministic safeguards for AI workflows.
- Develop reusable AI-assisted engineering tools, skills, context conventions, and validation mechanisms for requirements, coding, testing, review, and troubleshooting.
Requirements
- Bachelor’s degree or above in Computer Science or a related field and at least four years of backend development experience; Go or Java experience is acceptable.
- Strong programming fundamentals in concurrency, memory management, performance optimization, and troubleshooting of complex backend systems.
- Experience developing distributed systems and handling concurrency conflicts, idempotency, duplicate messages, cross-service consistency, timeouts, and failure recovery.
- Proficiency with backend technologies such as RPC frameworks, caches, message queues, and relational databases.
- Hands-on experience using AI coding tools for requirements decomposition, system analysis, coding, testing, and code review while validating output quality.
- Hands-on experience developing and deploying AI/LLM capabilities in real-world scenarios beyond basic tool usage or demonstrations.
- Mandatory hands-on experience developing systems involving funds or monetary value, including areas such as rebates, settlement, reconciliation, payments, ledgers, vouchers, credits, or subsidies.
- Ability to translate business goals into technical requirements and acceptance criteria, collaborate cross-functionally, and own production outcomes.
- Preferred experience designing and iterating on AI agents and agentic workflows with tool calling, orchestration, context or memory management, state persistence, recovery, or human intervention.
- Preferred experience evaluating agent performance using datasets, failure cases, execution traces, or business metrics; building team-wide AI-assisted engineering workflows; and owning complex cross-system projects.
- Additional advantages include experience with retention or growth platforms, RAG, vector retrieval, knowledge bases, MCP, AI translation, search, agent orchestration frameworks, cryptocurrency exchanges, fintech, or relevant open-source projects.
Benefits
- Study Growth Fund supporting professional development and continuous learning.
- Internal team-building events, workshops, and collaboration activities.
- Global collaboration with colleagues from around the world.
- Career advancement opportunities within a rapidly expanding company.
- Internal mobility opportunities to support long-term career development.
Categories
About Bybit
Bybit operates a cryptocurrency exchange and digital-asset platform for retail and institutional traders, offering spot and derivatives trading, payments, custody, and Web3 tools. Founded in 2018 and privately held, it serves a global user base and supports major assets such as Bitcoin and Ethereum. Its business model centers on trading and financing fees and related services across its exchange and institutional offerings.