Python AI Engineer
Core
Architect and implement robust backend services and agent runtime capabilities for an enterprise knowledge base platform using Python, LLMs, and vector search.
Role type
Senior IC Python AI Engineer (Infrastructure & Backend)
Builds
Production-grade agent runtime, ingestion infrastructure, and unified knowledge platform components.
Domain
Enterprise AI infrastructure, RAG, vector search, and backend services.
Deliverable
production ML models
Required skills
Python 3.11, FastAPI, LangGraph, LangChain, pgvector, Docker, Kubernetes, OpenTelemetry, Prometheus, ETL pipelines, async programming, vector search, LLM evaluation frameworks.
Preferred skills
Qdrant, Neo4j, Vault, Splunk, AI-assisted engineering workflows, enterprise tooling.
Technologies
Python, FastAPI, Pydantic, SQLAlchemy, asyncpg, LangGraph, LangChain, pgvector, Docker, Helm, Kubernetes, OpenTelemetry, Prometheus, Grafana, Confluence, GitHub Actions, Neo4j, Rust, Golang.
Responsibilities
Architect and implement robust backend services; Build production-grade agent runtime capabilities; Improve answer grounding and citation enforcement; Develop ingestion infrastructure for content sources; Manage cost, latency, and throughput for AI-heavy workloads; Partner with product teams to support conversational surfaces.
Seniority
Senior, hands-on IC