Senior Python Backend Engineer - AI Agents & Cloud Infrastructure
Job description
IAgentic is building AI-powered developer tools for cloud infrastructure automation. Our flagship product, DevOps Copilot Studio
(studio.iagentic.dev), lets engineers manage multi-cloud infrastructure through natural language - backed by 842 MCP tools, a real-time knowledge graph engine, and AI orchestration across AWS, GCP, and Azure. We're looking for a Senior Python Backend Engineer to help us scale. What you'll work on:
Python FastAPI backend powering AI agent orchestration and tool execution
Knowledge graph engine (DuckDB) with inference rules and real-time cloud resource discovery
Multi-cloud integrations (AWS, GCP, Azure) - SDKs, APIs, Terraform
Real-time data pipelines - SSE streaming, background workers, metric collection
SLO/SLA engine, security analysis, and infrastructure-as-graph systems You should have:
5+ years Python backend (FastAPI or Flask in production)
Experience with AI/LLM integration (tool calling, function routing, prompt engineering)
Strong AWS knowledge (IAM, ECS, Lambda, CloudWatch, S3, RDS)
Strong Experience with even streaming and Kubernetes
Production database experience (PostgreSQL, Redis, or graph databases)
Comfortable working async in a small, fast-moving team Nice to have:
Knowledge graphs (Neo4j, DuckDB, or similar)
Multi-cloud experience (GCP + Azure alongside AWS)
Terraform / Infrastructure as Code
Next.js / TypeScript (we're full-stack when needed) What we offer:
Fully remote, async-first
Work directly with the founder on core product
Real engineering problems - not CRUD
Competitive rate Interested? send your CV to support@iagentic.dev #Hiring #PythonDeveloper #AIEngineer #BackendEngineer #RemoteWork #FastAPI #AWS #DevOps #CloudInfrastructure #AI #AI Agents
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