Key skills
PythonAIRAGAWSGCPCommunication
About this role
Farsyt is an AI-native insurance services company reimagining how insurance is bought, sold and operated. The role involves working directly with the founders to build the core product, architecting and building core systems, and designing AI-powered workflows.
Responsibilities:
- Architect and build core systems (backend, APIs, data models)
- Design AI-powered workflows that replace manual operations
- Integrate with fragmented, unreliable real-world systems (external tools, documents, communication layers)
- Build production-grade automation systems powered by LLMs (reliability, evaluation, and failure handling matter)
- Design and operate asynchronous, event-driven systems (queues, workers, long-running tasks)
- Ship fast — from idea → production in days, not months
- Make foundational technical decisions that define the company
Requirements:
- 5+ years building production systems
- Strong backend engineering skills — you've built and scaled real systems (we use Python, but care more about depth than specific frameworks)
- Experience with cloud infrastructure (AWS, GCP, or similar)
- Experience building systems from scratch
- Comfortable operating in ambiguity and moving quickly
- Experience with modern AI tooling (LLMs, RAG, agent frameworks) and an understanding of making them reliable in production (evaluation, structured outputs, failure handling)
- Strong systems thinking — you think beyond individual features
- Product intuition — you care about what gets built, not just how
- Experience with voice, email, or messaging systems
- Familiarity with fintech, insurance, or regulated environments