Senior Backend AI Platform Engineer
Pubblicato il 20-10-2026 - Msg Global in Balgano
Overview
In this role you will own the foundation of our enterprise AI platform, focusing on orchestration, security, and governance. You will partner with enterprise clients to ensure designs pass security reviews and audits while enabling scalable, reusable platform services. You will shape the end-to-end backend, including stateful services, authorisation, and integration adapters connecting to ERP, CRM, and data sources. This position offers impact at scale by delivering a measurable, compliant AI platform that supports multiple projects.Join a global team and help drive secure, production-ready AI capabilities for Fortune 500 clients.
Retribuzione / Benefits
- competitive salaries
- broad range of benefits
- diversity and cultural differences cherished
Responsabilità
- Own the AI platform foundation end to end: orchestration runtime, state and persistence, retries and long-running execution
- Design and build the authorisation layer with replayable audit records
- Develop human-in-the-loop machinery and approval/escalation interfaces
- Build and maintain integration layer to enterprise sources via clean adapters
- Manage infrastructure and delivery: environments, CI/CD, IaC, secrets, observability
- Create test/evaluation harness to measure agent behaviour and surface regressions
- Maintain accurate inventory of agents, ownership, versions, and kill-switch mechanisms
- Provide guardrails as shared platform services (prompt injection defence, output validation, PII redaction)
- Ensure platform is reusable and reduces per-project rewrites
- Collaborate with client IT/security to obtain design sign-off and set engineering standards
Requisiti fondamentali
- 6+ years building backend systems in production
- Expert Python with API design experience
- Hands-on with an agent or workflow orchestration framework (LangGraph, Temporal, LangChain or similar)
- Strong integration background: REST and SOAP, message queues, file-based interfaces
- Cloud and DevOps depth: co