Senior Python Engineer (AI & Agentic Workflows) at Prequel

Executive Summary

We’re looking for a Senior Python Engineer who can own and build the core backend and workflow infrastructure behind our agentic systems — someone practical, fast, and comfortable driving complex integrations end-to-end. Product-manage and build the internal Agent Hub (FastAPI) with tool registry, RAG memory, and per-agent quotas. Build reliable stateful workflows using Temporal or Google Workflows. Implement human-in-the-loop integrations via n8n (Slack, Google Drive, Jira, Plane.so) with Temporal and Celery tasks. Orchestrate end-to-end agentic pipelines: insight → brief → asset → approval → ad upload. Design prompt/output schemas (Pydantic/JSON) and LLM evaluation harnesses (Langfuse). Ensure integration security and stability: secure webhooks, OAuth, rate limits, idempotency. Maintain full observability with OpenTelemetry trace_id propagation. Strong Python 3.11+ skills; experience building production-ready services with FastAPI, Pydantic, SQLAlchemy. Hands-on with workflow orchestration (n8n, Temporal/Google Workflows) and system integrations (Slack Bolt, Google APIs, Plane.so a plus). Familiarity with modern AI tools (LangGraph, crewAI, LlamaIndex, Langfuse, pgvector) and prompt/context engineering. Understanding of distributed systems: Pub/Sub, Postgres 15+, BigQuery, Celery/GKE, cloud (GCP/AWS). Product-minded, platform-focused engineer with strong ownership; builds reliable, observable, scalable systems. Comfortable using AI assistants (Copilot, Claude) to speed up development without compromising quality.