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About the Role
We are hiring an Applied AI Engineer for a leading fintech company's AI Team to serve as the team's technical anchor in the United States. You will lead AI Coding tooling and developer experience, bringing Silicon Valley front-line team's engineering depth into ByLabs. You will also lead AI application paradigm exploration and dogfooding, building frontier prototypes in internal scenarios and propagating them across the team. This role requires craft and taste, focusing on turning front-line product engineering experience into multiplicative leverage for the AI Team.
Responsibilities
- Introduce AI Coding tooling best practices, bringing the engineering depth of Claude Code, Cursor, Devin, Replit Agent, and similar tools into ByLabs.
- Produce engineer onboarding playbooks and advanced-usage standards.
- Set the bar for the Skill Marketplace by defining Skill design conventions and delivering reference-quality Skills.
- Raise team-wide Skill engineering quality through PR review.
- Prototype an AI-native engineering workflow, reimagining the lifecycle around AI tools.
- Build internal AI application prototypes (employee-facing scenarios) in OpenClaw, A2UI, role-bound AI assistants, and similar internal contexts.
- Provide reference architecture code, delivering runnable 'this is how Silicon Valley does it' reference implementations.
- Propagate craft across teams through monthly tech talks, quarterly blog posts, and bi-annual onsite workshops in APAC.
- Participate in ByLab's AI architecture review process, providing frontier perspective and application-layer feedback.
Requirements
- Top-tier CS / EE BS or above; MS preferred.
- 6+ years of software engineering experience, including at least 2 years focused on LLM applications.
- Senior AI application engineering experience: Shipped AI applications from 0 → 1 in production.
- At least one tour of duty as a core engineer at a top-tier Silicon Valley AI company or leading AI product team (e.g., Anthropic, OpenAI, Meta).
- Deep AI Coding tooling fluency: Daily-driver experience with Claude Code, Cursor, Devin, or Replit Agent, with the ability to articulate its engineering implementation.
- Strong understanding of engineering tradeoffs in Skills, hooks, subagents, MCP, and long-context engineering.
- Agent application engineering depth: Solid grasp of ReAct, Plan-Execute, Reflection, Multi-Agent, and Orchestrator-Worker tradeoffs.
- Hands-on experience with LangGraph, AutoGen, CrewAI, OpenAI Swarm, or in-house frameworks.
- Strong full-stack engineering: Strong backend (Go / Python / TypeScript).
- Mid-level or above frontend (React / Next.js).
- Comfortable with end-to-end streaming rendering and interaction.
- Strong product sense and craft: Comfortable collaborating with PMs and designers; opinionated on AI application UX patterns.
- Public technical influence: Track record of public output (blog, talks, OSS contributions).
- Self-direction and async collaboration: Capable of independently judging value priorities and driving prototype-to-dogfooding loops.
- Effective at collaborating with APAC counterparts via documents, PRs, and asynchronous communication.
Skills
- AI Coding tooling
- LLM applications
- AI application engineering
- Claude Code
- Cursor
- Devin
- Replit Agent
- Skills
- hooks
- subagents
- MCP integration
- long-context engineering
- ReAct
- Plan-Execute
- Reflection
- Multi-Agent
- Orchestrator-Worker
- LangGraph
- AutoGen
- CrewAI
- OpenAI Swarm
- Go
- Python
- TypeScript
- React
- Next.js
- streaming rendering
- streaming UX
- transparent agent steps
- long-context memory
- multi-agent collaboration
- Product sense
- Public technical influence
- Async collaboration
Location
- United States
Work Type
- Full-time
Experience Level
- 6+ years of software engineering experience
- 2+ years focused on LLM applications
- Senior AI application engineering experience
Education Level
- Top-tier CS / EE BS or above
- MS preferred
About the Company
- Leading fintech company