Machine Learning Engineer

Luxoft; Polska; On-site; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Laptop and monitor provided

Job summary

Luxoft is partnering with a top-tier Hedge Fund to expand its AI agent platform that runs 1,500+ agents in production. We seek Senior Platform Engineers to own the full stack—from infrastructure to agents and MCP tools—and to enable secure cross-agent collaboration at scale.

You will join an expert team responsible for agents, MCP servers, and the supporting Kubernetes/AWS platform, delivering reliable, scalable systems with robust access controls and automated pipelines.

Qualifications

• Hands-on production experience building agents 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.

Responsibilities

• You’ll join the team that runs and own both layers: the agents, MCP servers and tools our users rely on.
• Maintain and evolve the Kubernetes/AWS platform with event-driven systems, ensuring secure communication between agents and multi-tenant isolation.

Skills

Agent SDKs usage

Kubernetes experience

CI/CD implementation

Event-driven architecture

Tools

Kubernetes (EKS)

AWS

Terraform

CloudFormation

Pulumi

GitOps

Job 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.

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.

Mandatory Skills Description:

• 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)

What do we offer our employees

• Equipment, such as a laptop and monitor