Senior Python Backend Engineer: AI Workflows & Scale

Smarsh; Northern (KY); Hybrid; USD 195,000 - 260,000; Full time

Job summary

Smarsh is hiring a senior backend/platform engineer to build agentic AI systems for enterprise use. You will craft Python services, design typed APIs, and scale a production platform that handles AI workflows and real-time event delivery.

You will join a small, fast-moving team, own problems end-to-end, and drive architecture decisions from whiteboard to working systems in a regulated, AI-native environment.

Qualifications

• 7+ years of professional software development in backend systems.
• 5+ years building Python services in production.
• Experience with APIs, async processing, and workflow orchestration.
• Production distributed systems with reliability and observability.
• Knowledge of RAG, vector search, embeddings, and LLM cost optimization.

Responsibilities

• Drive backend development for AI workflows powering core platform capabilities.
• Productionize LLM integrations with Bedrock, quotas, retries, and cost controls.
• Design for security, tenant isolation, auditability, and compliant processing.
• Scale the platform with async job orchestration and data-layer optimization.
• Support multi-tenant architecture with RBAC and SSO integration.
• Improve reliability with monitoring, tracing, and alerting for LLM pipelines.
• Implement real-time event delivery and pub/sub for live workflow state.
• Contribute to architecture decisions and integration boundaries.
• Translate product requirements into practical technical solutions.

Skills

Python backend

APIs

Async processing

Workflow orchestration

LLM integrations

Security/compliance

Multi-tenant systems

Observability

Real-time systems

Agentic workflows

LangGraph

Tools

AWS

Bedrock

OpenAI

LangGraph

Terraform

Job description

Smarsh is hiring a senior backend/platform engineer to build agentic AI systems for enterprise use. You will craft Python services, design typed APIs, and scale a production platform that handles AI workflows and real-time event delivery.

You will join a small, fast-moving team, own problems end-to-end, and drive architecture decisions from whiteboard to working systems in a regulated, AI-native environment.