Sr. Product Engineer, AI Systems at Employ

This role is for a seasoned software engineer with at least four years of experience specifically building AI-native systems like RAG pipelines and agentic workflows. You should be a Python expert who understands how to bridge the gap between unpredictable model outputs and rock-solid production environments. **What makes it worth a look...** While the company is remote-first, this specific position is a high-autonomy "systems-definition" role where you define the architectural standards for an entire AI platform rather than just shipping minor features. They offer a flexible work schedule alongside comprehensive benefits and paid time off. **You might be a good fit if you...** * Have deep experience with orchestration frameworks like LangChain, LangGraph, or custom agent loops. * Are comfortable designing asynchronous systems using Kafka, SQS, or BullMQ to handle LLM latency. * Use schema validation tools like Pydantic or Zod to force AI models into producing reliable, machine-readable data. * Know how to manage vector databases such as Pinecone or pgvector for complex retrieval tasks.