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AI/ML Engineer, Internal Platforms – Remote (Worldwide)

  • Source: LinkedIn
  • RemoteJobsOne
  • $220,000 to $300,000 /yr
  • Remote
  • Philadelphia
  • Mid level

Job Description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position , open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $220,000–$300,000/yr

Job Title: AI/ML Engineer, Internal Platforms

Job Type: Full-time

Location: Remote

The Role Join our team to build and improve a next-generation AI recruiting agent. You’ll develop new capabilities, experiment with the latest LLMs and agent frameworks, and ship production-ready AI features that make the agent smarter, more reliable, and more useful.

What You’ll Do

  • Build and improve AI agent capabilities using modern LLMs.
  • Develop backend services and APIs in Python.
  • Design and iterate on prompts, workflows, RAG, and agent orchestration.
  • Evaluate model performance and continuously improve quality through experimentation.
  • Collaborate with product and engineering teams to deliver AI-powered features.
  • Deploy and maintain scalable AI systems in production.
  • Stay current with the latest AI models, tools, and best practices.

What We’re Looking For

  • Strong Python software engineering skills.
  • Experience building applications with LLMs and AI APIs.
  • Familiarity with agent frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Experience building APIs with FastAPI or similar frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Strong problem-solving skills and an experimental mindset.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience shipping AI products or AI agents to production.
  • Familiarity with RAG, tool calling, model evaluation, or prompt engineering.
  • Contributions to open-source AI projects or personal AI applications.
  • Experience working in fast-paced, AI-first environments.

Compensation & Benefits Notice The national pay range for this full-time position is base salary of $130,000 –$160,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. The company provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

the company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to us by replying to our email.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. the company reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

How To Apply Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.

Skills

  • Python
  • LangChain
  • LangGraph
  • LlamaIndex
  • FastAPI
  • amazon-web-services
  • google-cloud-platform
  • microsoft-azure

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