> Markdown version of [/jobs/ext/3648661-senior-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3648661-senior-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Platform Engineer - **Company:** ARKINFOCUBES LLC - **Location:** Weehawken, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Abstraction Layers, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Distributed Systems, Performance Tuning, Software Engineering, Workflow Management Systems, Large Language Models, Agentic-AI, Build Management, AI Platforms, Kubernetes, Virtual Agents, Invoking Functions, Automation Anywhere, Microservices - **Published:** October 9, 2026 - **Apply:** https://www.disabledperson.com/jobs/75965464-senior-ai-platform-engineer ## About the Role * 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). ## Description We are seeking a Senior AI / Agent Platform Engineer to build the execution layer powering enterprise AI agent capabilities. This role focuses on designing scalable runtime services and distributed systems that support long-running AI workflows in secure production environments., * 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.