About Us
- Agent SDK & Runtime — Design and implement the orchestration engine, runtime, and core primitives; ensure the agentic loop is both steerable and verifiable while remaining conversational and adaptive.
- MCP Matrix Expansion — Wrap internal systems as MCP servers / sub-agents / agent skills; unify tool discovery, dynamic registration, RBAC, rate limiting, and version management.
- Agent Development Lifecycle (ADLC) — Build toolchains adapted to the non-deterministic behavior of agents, covering the full loop: Spec → Eval → Build → Test → A/B → Canary → Monitoring → Iteration.
- End-to-End Ownership of Effectiveness & Cost — Own accuracy, resolution rate, cost, and latency metrics; build agent personalization optimization loops through data feedback.
- Education & Experience: Bachelor's degree or above in CS/SE or related field; P7: 6+ years (including 3+ years in AI/Agent); P7+: 8+ years with 0-to-1 Agent platform experience.
- Engineering Foundation: Proficient in Go or Python; capable of production-grade system design and TRD documentation.
- LLM Application Engineering: Deep expertise in LLM APIs, Prompt Engineering, ReAct patterns, and context window management (token budgeting / history compression / sub-agent compression).
- Production-Grade Agent Experience: Full 0-to-1 launch with continuous iteration loop — clearly distinguished from Demo/POC work.
- Agent Engineering Practice: Familiar with at least one orchestration framework (LangGraph / Dify / Eino / Embabel / OpenAI Agents SDK, etc.); hands-on experience with Multi-Agent collaboration (Agent Teams / parallel / DAG / Handoff).
- Adjacent Agent Capabilities: Deep expertise in at least one of: RAG engineering (vector retrieval, Hybrid Search, Reranking) or evaluation systems (LLM-as-Judge, Golden Set, regression testing, A/B).
- Engineering Mindset: Ability to quantify effectiveness and cost (token optimization thinking); understanding of PII desensitization and prompt injection protection; ability to identify compliance boundaries in financial scenarios.
- 0-to-1 experience building an Agent simulation / benchmarking platform (τ-Bench scale)
- Private LLM deployment: vLLM / Triton / DeepSeek / Qwen / GLM
- Domain expertise: Crypto AI (risk control / KYC / compliance), AIOps (alert RCA / diagnostic tooling), customer service AI, code AI
- AI security research: published work on prompt injection, jailbreak defense, Smart Contract AI security, etc.
- Open-source contributions to LangChain / LangGraph / Dify / MCP / Eino / Vercel AI SDK or similar
- Public technical influence: blog posts / conference talks / papers / OSS projects
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Other open roles at Bybit(6)
Crypto trading experience elevated. Buy, sell, trade BTC, altcoins & NFTs. Get access to the spot and futures market or stake your coins securely.
Jobr aggregates jobs directly from company career portals — no middlemen. Our team applies on your behalf with AI-tailored resumes, reviewed by a human before submission.