We are looking for a Senior Platform Engineer to build shared AI platform services that power LLM integrations and agent runtimes, with observability, guardrails, and cost attribution designed in from day one. You will run and evolve Kubernetes-based gateway, MCP, and telemetry capabilities that application teams rely on. Responsibilities Build and operate shared AI platform services including LLM gateways, routing, fallback, MCP layers, and agent runtimes Design and run model onboarding across environments with routing rules, quotas, tiering, and version deprecation paths Implement end-to-end observability for platform components using Open Telemetry, metrics, and structured logs Implement and maintain Langfuse telemetry including traces, spans, prompts, completions, feedback, and evaluation metadata Design and operate the MCP layer for tool registration, discovery, session handling, permission boundaries, and tool-call tracing Run platform services on Kubernetes with Git Ops using Helm and Kustomize, autoscaling, health checks, and progressive rollout Implement authentication, authorization, and tenancy with OAuth2/OIDC, SSO, JWT validation, and API key management Apply guardrails and policy enforcement including PII detection, filtering, audit logging, and retention rules Build dashboards, alerts, and reports for reliability, latency, errors, quality signals, and production behavior Design cost and usage observability across model providers with attribution by app, team, user, model, and environment Create showback-ready metrics for token usage, model mix, cache behavior, and vendor spend to guide routing and capacity Support agent lifecycle capabilities including publishing, versioning, discovery, memory, scaling, and resilience Build developer self-service workflows for onboarding, provisioning, templates,



and internal portals or CLIs Requirements Senior-level platform engineering experience (3+ years) with AI platform services Strong Kubernetes experience (3+ years) operating production services Hands-on Langfuse experience implementing AI observability patterns Strong Model Context Protocol (MCP) experience building or operating MCP servers and registries Strong Open Telemetry experience for distributed tracing, metrics, and structured logs Production Git Ops experience using Helm and Kustomize for declarative delivery Strong IAM and security knowledge covering OAuth2/OIDC, SSO, JWT, and secrets handling Strong communication skills to partner with engineering and developer teams Upper-Intermediate English proficiency (B2) for collaboration and documentation Nice to have Hands-on Lang Chain experience for agent or tool integration patterns Hands-on Lang Graph experience for graph-based agent workflows Retrieval-Augmented Generation (RAG) experience with evaluation and retrieval quality tuning We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the Linked In Learning library and 22,000+ courses General career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
#J-18808-Ljbffr

📌 Senior platform engineer (ai platforms) (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México