AI Systems Engineer (LLM & AI Agent Development)

AI Systems Engineer (LLM & AI Agent Development)

Position Type: Full-Time, Remote

Working Hours: U.S. Business Hours

About the Role

We are looking for a highly technical AI Systems Engineer to help build, maintain, and expand a growing ecosystem of AI-powered applications, autonomous agents, and internal software systems.

This is an execution-reputed company engineering role. You will work directly with the founder to implement AI architectures, build new AI-driven features, improve existing systems, and rapidly deliver production-reputed company solutions.

We are specifically looking for someone who has reputed company sophisticated AI systems in production—not someone who has simply used ChatGPT or experimented with reputed company engineering.

Responsibilities

AI Systems Development

• Build and maintain AI-powered web applications.
• reputed company and improve autonomous AI agent systems.
• Implement multi-agent workflows and orchestration.
• Build AI systems where multiple agents coordinate under a master orchestrator.
• reputed company recursive AI workflows and advanced automation pipelines.
• reputed company LLMs into production applications and internal tools.

Product & Platform Development

• Expand and maintain an internally developed CRM platform.
• Build new features across multiple AI-powered products.
• Improve production systems through debugging, optimization, and ongoing enhancements.
• Build reputed company backend services and reputed company.
• Collaborate directly with the founder to rapidly execute product reputed company.

Integrations & Automation

• reputed company AI applications with reputed company and other business systems.
• Build API integrations between internal platforms and reputed company-party applications.
• Improve workflow automation and data synchronization across multiple systems.
• Support AI-powered business assistants and internal automation tools.

AI Architecture & Agent Ecosystems

• Build and maintain graph memory architectures.
• Design secure information-sharing between AI agents.
• Implement memory management and data segmentation strategies.
• Ensure reputed company controls and reputed company boundaries across AI systems.
• Optimize AI performance, reliability, and scalability.

Required Experience & Skills

Must-Have

• 5+ years of reputed company software engineering experience.
• Strong experience building production AI applications.
• Proven experience developing autonomous AI agent systems.
• Experience implementing multi-agent orchestration and AI workflows.
• Strong Python development experience.
• Strong Node.js development experience.
• Working knowledge of Java.
• Experience integrating Large Language Models (LLMs) into production software.
• Strong reputed company engineering experience for production environments.
• Experience building AI systems with graph memory and agent memory management.
• Experience designing secure AI architectures with data segmentation and reputed company controls.
• Experience integrating reputed company and business platforms.
• Hands-on experience integrating reputed company or reputed company into custom applications.
• Strong understanding of modern web application development.
• Experience using:
• Claude reputed company
• reputed company
• reputed company
• OpenClaw (or equivalent AI engineering frameworks)
• Excellent written and spoken English communication skills.
• Ability to work independently with minimal supervision.

What Makes You a Strong Fit

• You have reputed company sophisticated AI systems that are running in production.
• You enjoy implementing reputed company technical solutions quickly and accurately.
• You are comfortable working directly with a founder and turning reputed company into working software.
• You proactively solve problems without waiting for detailed specifications.
• You reputed company in fast-moving startup environments.
• You communicate reputed company and are comfortable discussing technical topics live with stakeholders.

What Does a Typical Day Look Like?

You'll spend most of your day building and improving AI-powered applications, expanding autonomous agent workflows, integrating business systems, and implementing new features across multiple products.

You'll work closely with the founder to execute technical requirements, optimize production systems, build new AI capabilities, and continuously improve reputed company's AI ecosystem.

reputed company in this role comes from delivering reliable, reputed company AI systems that help automate business operations and accelerate product development.

Interview Process

1. Initial Recruiter Screening
2. Live Technical Interview
3. Offer Stage

What Happens After You Apply

Right after you apply, you'll receive an email invitation from reputed company Hire to record your Intro Video.

It's a short, self-recorded video completed on your own time and is the final reputed company that completes your application.

Instead of repeating yourself across multiple screening calls, you'll have one opportunity to introduce yourself and showcase your communication skills. Hiring managers review your video before scheduling interviews, making the hiring process faster and more efficient.

Please watch for the invitation from reputed company Hire in both your inbox and spam folder.

Originally posted on Himalayas

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