한국어·English
Sendbird company · OPEN ROLE
- Company
- Connect customer memory with governed actions across channels.
- Role
- Own agent architecture, evaluations and delivery.
- Language
- Native-level English
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What you will do
We rewrote the responsibilities and qualifications in plain language instead of copying the original posting.
Responsibilities
- Owns end-to-end delivery of core AI agent features, from architecture through production.
- Designs and builds advanced RAG pipelines, multi-step tool use, and agent orchestration logic.
- Drives architecture decisions for the agent platform with a focus on fault tolerance and scalability.
- Builds and optimizes evaluation, observability, and classification pipelines that improve agent performance.
- Leads prompt engineering strategy for diverse customer cases, including A/B testing and regression pipelines.
- Guides junior engineers through code reviews, architecture discussions, and technical planning.
What you need
- Has 3+ years of software engineering experience owning AI/ML or backend systems in production.
- Has deep Python expertise and a track record of building and scaling reliable, performant systems.
- Has hands-on experience with LLM APIs.
- Has strong system design and architecture skills, including distributed systems on AWS or GCP.
- Has the English proficiency to communicate complex technical ideas clearly in writing and conversation.
Good to have
- Has prior experience with real-time or conversational interfaces.
- Has hands-on experience with agentic frameworks such as LangChain or LangGraph.
- Is familiar with vector databases, search technologies, or large-scale data processing.
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Checked 2026-10-10