Senior AI & Agent Platform Engineer — Hybrid (NY)

Metalight Solutions Inc; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Metalight Solutions Inc in New York, NY is seeking a Senior AI / Agent Platform Engineer to build the execution layer powering enterprise AI agent capabilities. You will design scalable runtime services and distributed systems to support long-running AI workflows in secure production environments.

You will collaborate with Security, Identity, and Platform Engineering teams; leverage LLMs, AI Agents, Function Calling, and Cloud-native tech such as Kubernetes and containers to deliver robust AI

Qualifications

• Strong software engineering and distributed systems background.
• Experience building production AI applications using LLMs, AI Agents, Function Calling, or Workflow Orchestration.
• Experience with asynchronous systems, queues, state management, retries, and observability.
• Understanding of model APIs, structured outputs, prompt/context management, and AI performance optimization.
• Cloud-native development experience (Containers, APIs, Kubernetes, Microservices).

Responsibilities

• Design and build runtime services for long-running, asynchronous AI workloads.
• Develop model routing and abstraction layers across multiple LLM providers.
• Implement tool invocation, execution state management, retries, checkpointing, and failure recovery.
• Build APIs and SDKs enabling reusable AI workflows.
• Develop tracing, telemetry, and evaluation capabilities.
• Collaborate with Security, Identity, and Platform Engineering teams.
• Experience with Knowledgegraph

Skills

Distributed systems

AI/LLM workflows

Asynchronous systems

Observability

Kubernetes

Tools

Kubernetes

Containers

APIs

Tool invocation

Job description

Metalight Solutions Inc in New York, NY is seeking a Senior AI / Agent Platform Engineer to build the execution layer powering enterprise AI agent capabilities. You will design scalable runtime services and distributed systems to support long-running AI workflows in secure production environments.

You will collaborate with Security, Identity, and Platform Engineering teams; leverage LLMs, AI Agents, Function Calling, and Cloud-native tech such as Kubernetes and containers to deliver robust AI