5 months ago
Seoul, Korea, SouthMid Level
Responsibilities
- Design, implement, and operate Cheiron’s agent layer, including agent runtime and harness systems, tool-calling infrastructure, sandboxed code execution, agent memory, and multi-step reliability and observability.
- Design and implement backend services and APIs using Python, FastAPI, and Postgres.
- Build and operate vector database, semantic search, and RAG systems while tuning search quality and latency.
- Build large-scale collection, cleansing, and indexing pipelines for scientific papers, clinical, regulatory, safety, and patent data.
- Build trustworthy systems that connect AI-generated results to evidence data and support source tracing and verification.
- Collaborate directly with founders, domain experts, and early customers with outcome-level ownership.
Requirements
- At least 2 years of experience shipping and operating production backend systems end to end.
- Strong backend engineering fundamentals, including API design, data modeling, databases, and system reliability.
- Production experience with LLM, RAG, vector database, and other AI-based systems.
- Practical understanding of agent runtimes, harnesses, tool calling, sandboxing, and memory, through direct implementation or deep investigation of how they work.
- Ability to prioritize independently and drive ambiguous work through rapid delivery.
- Ability to balance fast deployment with sound engineering judgment.
- Active use of AI coding tools such as Claude Code and Cursor.
- Preferred: experience building an internal agentic harness, operating LangGraph or other agent frameworks and RAG systems in production, or developing enterprise SaaS, pharmaceutical, biotechnology, or healthcare products.
- Preferred: understanding of life-sciences data such as academic literature, clinical trials, regulatory documents, and patents.
- Preferred: experience deploying and operating production systems with AWS, Terraform, and Kubernetes, including reliability and observability.
- Preferred: experience at a seed- or early-stage startup.
Benefits
- Lunch and dinner allowances, plus transportation support for early starts and overtime.
- Company snack bar and other work transportation support.
- $300 per person per month toward AI tool subscriptions.
- English is the primary working language, with collaboration with the US-based leadership and engineering team.
- US visa sponsorship may be considered after six months of employment.
- Hiring process: resume review, take-home assignment, technical interview, second technical interview, and cultural interview.
Tech Stack
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