Related skills
aws python gcp prompt engineering langchainπ Description
- Design and lead core AI agent features (RAG pipelines, tool use).
- Establish best practices for prompt engineering, orchestration, observability, and testing.
- Drive architecture for scalable, fault-tolerant AI agent platform.
- Build and optimize pipelines to boost agent capabilities and performance.
- Own full development lifecycle: performance, reliability, and security.
π― Requirements
- 3+ years in software engineering with AI/ML or backend ownership.
- Deep Python expertise with track record building and scaling prod systems.
- Strong system design and architecture skills; distributed systems; cloud-native (AWS, GCP).
- Hands-on with LLM APIs and agent frameworks (LangChain, LangGraph).
- Strong English proficiency.
- Bonus: real-time/conversational interfaces.
- Bonus: vector databases or large-scale data processing.
- Bonus: open-source contributions to LLM tooling.
π Benefits
- Equity program with 1-year cliff.
- Hybrid work policy with flexible hours.
- Language learning benefit up to 3.6M won/year.
- 12-week paid parental leave.
- Free parking at the Seolleung office.
- Group insurance and medical checkup support.
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