Senior Backend AI Platform Engineer

23 ott - Milano
Msg Global

Overview

In this role you own the AI platform foundation end to end, enabling scalable autonomous agents within enterprise systems. You design the orchestration runtime, authorization, auditability, and integration layers to support production deployments. You work with client IT and security to ensure designs pass security reviews and audits. You build reusable platform services that reduce future project rework and enable business users to approve or correct agent proposals. You operate across CI/CD, infrastructure as code, observability, and disaster recovery to deliver reliable, auditable automation at scale. This is a chance to shape a platform used by enterprise clients and collaborate with a全球 Retribuzione / Benefits

competitive salaries global team of SAP/industry experts diversity and cultural differences cherished Responsabilità

Own the AI platform foundation end to end (orchestration runtime, state/persistence, retries, long-running execution) Design/build the authorization layer with replayable audit records Develop human-in-the-loop workflows (approval/escalation interfaces) Create and maintain integration layer to ERP/CRM/document stores/data platforms via adapters Manage infrastructure, CI/CD, IaC, secrets, networking, observability,



and disaster recovery Build test/evaluation harness for measurable agent behavior and regressions Maintain accurate platform inventory (agents, ownership, versions, permissions) and rapid stop mechanisms Provide guardrails (prompt injection defense, output validation, PII redaction) as reusable platform services Collaborate with client IT/security to secure designs and establish engineering standards Requisiti fondamentali

6+ years building production backend systems Expert Python with API/data model design and long-running stateful services Hands-on experience with an agent/workflow orchestration framework (LangGraph, Temporal, LangChain or similar) Strong integration background: REST, SOAP, message queues, file-based interfaces Cloud and DevOps depth: containers, IaC (Terraform), CI/CD, secrets handling, observability Delivery experience under compliance constraints: auditability, access control, data residency, change management Ability to work with client IT and security teams to get designs signed off Fluent English Ability to collaborate with client IT and security teams Strong problem-solving and systems thinking Attention to security, compliance, and auditability Python backend development API design and data modeling Agent/workflow orchestration (LangGraph, Temporal, LangChain)

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