Senior Backend Engineer, AI Platform

Online Infrastructure

What We Do

Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems.

Our AI Platform team is building an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not deploying off-the-shelf tools — we're building production systems from the ground up, across six interconnected platforms:\

• Geppetto — multi-tenant platform for team AI agents that live and collaborate in Slack channels
• EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale
• Hodor — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration (1,500+ MAU, 700K+ tool executions)
• Multipass — agent identity, credential vault, and authorization for non-human workloads
• Vektor — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization
• Roost — cryptographically signed software distribution and the Claude Code plugin marketplace

This is foundational work with real production usage and real consequences. The stack is live, growing, and touching every corner of Epic's engineering organization.

What You'll Do

As a Senior Engineer on the AI Platform team, you'll be a primary contributor and technical owner across one or more of the platforms in our agent stack. You'll take complex, loosely-defined problems — a new plugin runtime, an agent compute provider, a memory ingestion pipeline — and drive them from design to production with limited oversight. You'll work closely with the team's principal engineer and technical lead to make sure your implementations are consistent with the broader architecture, and you'll be the person others turn to when the work gets technically hard.

This role is for an engineer who wants to go deep. The problems span distributed systems, security, LLM integration, and developer tooling — and the surface area is large enough that you'll have genuine ownership, not just ticket work.

In this role, you will

• Own the design and implementation of major features and subsystems across the AI Platform stack — from Hodor's plugin runtimes and credential manager to Geppetto's agent-service LLM dispatch and session lifecycle
• Build and harden EMA's worker layer: workspace materialization, harness lifecycle management, normalized event streaming, and mid-run input handling across compute backends
• Implement production-grade components for Vektor's memory pipeline — ingestion workers, knowledge graph writes, semantic search, and nightly consolidation jobs
• Contribute to Roost's publish and consume pipelines: TUF signing, artifact storage, marketplace generation, and plugin signature verification
• Implement credential manager components with rigor: AES-256-GCM encryption, AAD binding, scope isolation, and audit trail completeness
• Write services that operate correctly under failure: circuit breakers, rate limiters, DLQ handling, and idempotent replay patterns
• Contribute to Multipass as it moves from strategy to implementation — workload identity, token broker, policy plane — under the guidance of the principal engineer
• Participate in on-call and incident response for Hodor and other production systems, building operational intuition alongside engineering depth
• Write design documents for the features you own — clear enough for async review, precise enough to serve as the implementation spec
• Collaborate across the team on cross-cutting concerns: NATS JetStream event bus patterns, multi-tenant isolation, RBAC enforcement, and observability
• Review code from peers with the goal of raising quality and spreading knowledge, not just catching bugs
• Surface architectural concerns early and engage constructively with the principal engineer and team lead when your implementation work reveals design gaps

What we're looking for

• 7+ years of software engineering experience, with a track record of owning and shipping complex backend systems
• Strong distributed systems fundamentals: service design, event-driven architecture, failure handling, and multi-tenant isolation
• Solid understanding of authentication and authorization — OAuth 2.0, OIDC, RBAC — and the ability to implement them correctly in production services
• Experience with security fundamentals in code: secrets handling, credential storage, least-privilege access patterns, and audit logging
• Production Go experience, or strong fluency in a comparable systems language with demonstrated ability to ramp quickly
• Ability to take a loosely-specified problem, write a design doc, get alignment, and execute — without requiring step-by-step direction
• Clear written communication: design docs and code reviews that are precise, readable, and actionable

Strongly Preferred Skills

• Hands-on experience building LLM-integrated systems: tool use, agent orchestration, MCP server or client development, or streaming LLM output pipelines
• Experience with plugin or extension runtime patterns — WASM sandboxing, gRPC sidecar, subprocess management, or capability-based security models
• Familiarity with knowledge graph or vector database systems and hybrid search (semantic + keyword + graph)
• Kubernetes experience: pod lifecycle, sidecar injection, workload identity, or multi-tenant namespace isolation
• Exposure to software signing or secure distribution: TUF, Sigstore, KMS-backed pipelines, or artifact integrity verification

Bonus Points For

• Experience in the games industry or with high-concurrency, low-latency consumer-facing backend platforms
• Familiarity with Anthropic Claude APIs, Claude Code, or the Model Context Protocol
• Background contributing to developer tooling or internal platforms used by large engineering organizations

This role is open to multiple locations across NA.