Principal AI Agent Development Engineer/Architect

Bybit is hiring a Principal AI Agent Development Engineer/Architect in Abu Dhabi and Kuala Lumpur. Level rates it ; you can apply on Bybit.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions OpenAI, Deepseek and LangChain among its tools and skills.
Level classes it as a lead role.
Bybit has 152 other open roles on Level.

AI in this role

Design and architect agentic runtimes, orchestration engines, and LLM development toolchains.

OpenAIDeepseekLangChainLangGraphVercel AI SDKvLLMPythonGo

prompt-engineeringragai-agentsllmsystem-architecturereact-patterns

About Us

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. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

(Suitable candidates has to relocate to Hong Kong, KL Malaysia or Abu Dhabi)

Key Responsibilities

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.

Requirements

Education & Experience: Bachelor's degree or above in CS/SE or related field; 6+ years of engineering experience with 3+ years focused on AI/Agent systems; candidates with 8+ years and hands-on 0-to-1 Agent platform delivery are strongly preferred.
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.

Bonus Points

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.

How we rate this

Principal AI Agent Development Engineer/Architect at Bybit rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal AI Agent Development Engineer/Architect is an open job at Bybit.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia.
The job was posted on June 26, 2026.
Seniority: lead.
Applications are handled by Bybit. Apply on Bybit

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsLLMSystem ArchitectureReact PatternsOpenAIDeepseek

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where llm was part of your work. What did you do?
Tell me about a project where system architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, LLM, and System Architecture. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker