AI Platform Engineer (AppCompass, DevEx & Cloud Enablement Team) 

AI Platform Engineer (AppCompass, DevEx & Cloud Enablement Team)

AppCompass is the team that shapes how 800+ engineers at eMAG build software. We own Backstage (the internal developer portal), the LLM Gateway, and the AI tooling platform - the infrastructure layer that determines whether AI becomes a genuine productivity multiplier or a scattered collection of shadow tools.

We're looking for an AI Platform Engineer to own the AI capabilities layer: from the LLM Gateway and cost governance, to AI coding tool adoption metrics, MCP catalog, and the emerging agentic tooling surface. You'll work at the intersection of AI infrastructure, developer experience, and platform engineering.

What you’ll have to do

• Operating and evolving the centralized LLM Gateway that routes all company AI API traffic (Cursor, Claude Code, Kiro, Toqan, LUMI), with disaster recovery runbooks and SLA enforcement (≥ 99.5% uptime)
• Instrumenting observability through Langfuse — latency, cost per model tier, error rates and usage patterns
• Enforcing AI license and access policies (Cursor seat limits, agentic tool controls) through self-service tooling
• Building RAG pipelines and developing MCP servers
• Tracking AI adoption across the SDLC and owning the AI Skills Marketplace and AI Guilds coordination tooling in Backstage
• Building the Slash AI Assistant — a natural language interface over Backstage and internal tooling
• Owning the AI Incident Investigator feature — cross-system analysis across GitLab, Jira and monitoring through Backstage
• Integrating AI capabilities into the self-service action catalog and productionizing agentic workflows (tool-use, multi-step reasoning, agent orchestration)
• Maintaining audit trails for AI tool usage and data classification compliance
• Building the AI Adoption Best Practices guide and surfacing it through Backstage

What makes you a good fit

• 3+ years of backend or platform