Senior AI Agent Platform Engineer

Intellisoft Technologies

New York (NY)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Intellisoft Technologies is seeking a Senior AI / Agent Platform Engineer to design and build the execution layer powering enterprise AI agent capabilities. You will craft scalable runtime services and distributed systems to support long-running AI workflows in secure production environments.

Join a team focusing on model routing across providers, tool invocation, state management, retries, and observability, delivering reusable AI workflows with robust APIs and SDKs.

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.

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.

Skills

Software engineering
Distributed systems
LLMs / AI Agents
Function calling
Workflow orchestration
Asynchronous systems
Observability
Model APIs
Prompt / context management
Performance optimization

Job description

Intellisoft Technologies is seeking a Senior AI / Agent Platform Engineer to design and build the execution layer powering enterprise AI agent capabilities. You will craft scalable runtime services and distributed systems to support long-running AI workflows in secure production environments.

Join a team focusing on model routing across providers, tool invocation, state management, retries, and observability, delivering reusable AI workflows with robust APIs and SDKs.

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