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AI Engineer (Applied AI Scientist) - Remote

Posted 3 days ago
Software Development
Full Time
Worldwide

Overview

The AI Engineer role at GrowthX focuses on applied AI, where you will improve agents and workflows, experiment with reinforcement learning, and implement AI-driven solutions.

In Short

  • Design and implement scalable AI systems from end to end.
  • Improve multi-agent workflow systems.
  • Build evaluation systems to measure agent performance.
  • Operate across the model lifecycle, from data exploration to iteration.
  • Collaborate with cross-functional teams to translate feedback into improvements.
  • Stay updated with emerging AI research and techniques.

Requirements

  • 5+ years of experience in ML/AI systems for large-scale products.
  • Deep expertise in traditional ML, NLP/LLMs, and ranking systems.
  • Familiarity with LLM evaluation practices.
  • Proficiency in Python and modern ML infrastructure.
  • Strong engineering skills for production systems.
  • MS/PhD in a technical field or equivalent experience.

Benefits

  • Fully remote work with flexibility in your work environment.
  • Ample time off to recharge and recognize holidays.
  • Professional growth opportunities in an AI-focused culture.
  • Access to training, workshops, and mentorship programs.
  • Support for attending external conferences and events.
GrowthX AI logo

GrowthX AI

GrowthX AI is a dynamic company founded in 2024 that specializes in designing growth systems that leverage AI automation and expert guidance to enhance marketing teams' capabilities in content creation, distribution, and conversion. In just five months, GrowthX has achieved seven-figure annual revenue and continues to experience double-digit growth month-over-month. The company collaborates with notable partners such as Reddit, Ramp, and HeyGen, providing advanced AI workflows, expert insights, and end-to-end solutions that cover the entire growth funnel. GrowthX positions itself not just as a software provider but as a growth partner, committed to helping clients scale efficiently and effectively.

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