Senior Software Engineer, Python + AI Platform

Smarsh is hiring a senior backend/platform engineer to build and scale agentic AI systems for enterprise use.

You will build fast-moving, early-stage Python services that integrate AI capabilities into a production agentic platform.

Your scope spans workflow execution, scale, reliability, and platform hardening as we grow.

This is not a generic backend role.

The focus is building and designing agentic systems, shipping working software, and solving hard platform problems in a fast-moving AI-native environment.

You will join a small, high-velocity cross-functional group and own problems end to end, designing and building from scratch, making fast architectural calls, and driving ideas from whiteboard to working system with a small, high-agency team.

• Drive backend development for AI workflows as part of a collaborative team. Build and evolve Python/FastAPI services powering core agentic workflows and platform capabilities.
• Productionize LLM integrations. Implement systems around Bedrock usage, quotas, retries, failover, cost controls, model configuration, and approval constraints.
• Design for security and compliance. Address customer data handling, tenant isolation, auditability, observability, and secure processing for regulated workloads. Apply auditable data design patterns to ensure AI outputs are traceable, reproducible, and built to withstand regulatory scrutiny.
• Build for scale. We're a nimble team, but our enterprise customers process data at petabyte scale. Help the platform grow to meet that bar through async job orchestration, performance tuning, and data-layer optimization.
• Support multi-tenant architecture. Contribute to tenant-aware services, role-based access, SSO integration, and admin/reporting capabilities.
• Improve platform reliability. Add monitoring, tracing, alerting, and operational tooling for LLM pipelines, workflow execution, and report generation.
• Build real-time capabilities. Design and implement real-time event delivery and pub/sub patterns to support live workflow state, notifications, and agent feedback loops.
• Contribute to technical decisions. Partner on shared services decisions, platform architecture, and integration boundaries across the stack.
• Work across ambiguity. Translate evolving product requirements and non-functional requirements into practical technical solutions with product, architecture, legal, and security stakeholders.
• Champion code quality. Drive strong typing, automated testing, and continuous integration practices that keep the team fast and safe.