Machine Learning Engineer

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) - • Strong python What do we offer our employees 👩 ⚕️ LuxMed healthcare, including dental care and life insurance 🏋🏽 ♀️ MyBenefit program (sports card, wellness program, etc. 🏠 Remote (or hybrid) work 🖋 Stable employment under an employment contract 🏦 Special banking service 💻 Equipment, such as a laptop and monitor