Senior Python Engineer

We are hiring a Senior Python Engineer to help drive the evolution of an enterprise knowledge base platform.

This platform is transitioning from a Confluence-focused RAG chatbot to a comprehensive agentic knowledge system. You will play a key role in expanding the platform’s capabilities, including hybrid retrieval, multi-source ingestion, evaluation pipelines, agent infrastructure, and shared chat platform primitives.

Architect and develop backend services using Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg Design retrieval and orchestration strategies that balance quality, latency, cost, safety, and operational simplicity Build robust agent runtime features such as memory boundaries, tool sandboxing, permissions, and budget controls Enhance answer grounding, failure analysis, and citation enforcement to improve reliability and accuracy Establish observability and operational feedback loops with OpenTelemetry, Prometheus, Grafana, Docker, Helm, and GitHub Actions Collaborate with product and engineering teams to support multiple conversational interfaces through a unified knowledge platform Develop ingestion infrastructure for current and future content sources Implement observability across application, pipeline, database, and model-serving layers Manage cost, latency, throughput, and failure modes for AI-intensive workloads Create release workflows that validate AI behavior changes beyond code compilation Minimum 3 years of relevant professional experience in software engineering Extensive hands-on experience with Python in platform, automation, or infrastructure-focused environments Experience building command-line tools using Python, Golang, or Rust Practical knowledge of LangGraph, LangChain, pgvector, and modern retrieval pipelines Experience designing evaluation frameworks for LLM-powered systems, including regression detection and quality assessment Strong background with Docker, Helm, GitHub Actions, and Kubernetes-based workflows Understanding of embedding pipelines, vector search, and operational aspects of LLM-driven systems Advanced observability skills, including metrics, tracing, dashboards, alerting, and log analysis Experience with ingestion, ETL, or large-scale content-processing pipelines Ability to approach system design with considerations for reliability, cost, latency, throughput, and recovery Excellent oral and written communication skills in English at B2+ level or higher Experience with FastAPI for building web APIs Familiarity with Grafana and Splunk for monitoring and log analysis Knowledge of Qdrant, Neo4j, or other vector and graph database infrastructure