š Senior AI Platform Infrastructure Engineerš
RemotePolandseniorFull-time
- Posted
- today
- Source
- LinkedIn (remote, Europe)
- Field
- Engineering
Skills
CommunicationJavaScriptTypeScriptKubernetesTerraformSecurityPythonCI/CDNext.jsAWSGoUI DesignAI
Description
š Join us in Luxoft!
š¦Flexible working hours
š©ŗPrivate Medical & Dental care & Life Insurance
š° Paid Referrals
šš½ āļø MyBenefit program (sports card, well-being program etc.)
š Internal Mobility program - possibility of rotation between projects, locations, accounts
š LuxTalent platform (webinars, training, courses)
š Project Description
Our partner, a top tier Hedge Fund, is expanding their AI agent platform. The platform runs 1,500+ agents in production across the firm. We are looking for Senior Platform Engineers to build across the whole stack, from the infrastructure to the agents and MCP tools that run on it. In the next phase agents securely work together.
š Responsibilities
You'll join the team that runs and own both layers: the agents, MCP
servers and tools our users rely on, and the Kubernetes/AWS platform with event-driven systems underneath them. From there, you'll build what lets agents work as a team: secure communication between agents, agents that manage other agents, shared memory with the right access controls, and the evals that keep it reliable at scale.
š Skills required
⢠Hands-on experience building agents in production with agent SDKs (e.g. Claude Agent SDK, Codex SDK): tool use, context and memory, prompting
⢠Experience building and running MCP servers and tools
Deep hands-on Kubernetes (EKS preferred): cluster design, networking (CNI, service mesh), RBAC and security policies
⢠Strong AWS: VPC architecture, IAM, EKS/ECS, networking and security
groups Infrastructure as code (Terraform, CloudFormation or Pulumi), GitOps and CI/CD (ArgoCD, GitHub Actions, Jenkins)
⢠Container architectures for multi-tenant, security-sensitive workloads
⢠Event-driven systems: queues and pub/sub (e.g. SQS, Kafka), webhooks,
async workers, retries and idempotency
⢠Production observability and incident response (Datadog or similar)
⢠Strong python
š What is nice to have
⢠Agent-to-agent (A2A) protocols and multi-agent orchestration
⢠JavaScript/TypeScript and Go
⢠UI / front-end experience (a plus for one of the three roles: agent
management console)
⢠Auth: OAuth 2.0 / OIDC, identity federation and SSO, delegated (on-behalf of) tokens
⢠Agent evaluation: test sets, graders, regression gates
⢠Permission-aware search, retrieval or shared memory
⢠Securing autonomous or long-running AI workloads at scale
⢠Financial or regulated environments, compliance-aware infrastructur
š Languages
English: B2 Upper Intermediate
š Seniority
Senior
š Work mode
remote in Poland
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