Machine Learning Engineer - Remote

Overview

We're seeking a talented Machine Learning Engineer to lead the development of Agentic AI applications that transform how organizations interact with intelligent automation. You'll be at the forefront of building AI systems that don't just respond—they think, plan, and act autonomously to solve complex workflows.

In Short

• Build sophisticated agentic AI applications enabling autonomous decision-making.
• Optimize and fine-tune large language models (LLMs) for performance.
• Develop novel approaches to agent reasoning and planning.
• Maintain robust ML pipelines ensuring high performance and scalability.
• Implement evaluation frameworks for generative models.
• Design monitoring systems for continuous model improvement.
• Stay ahead of cutting-edge AI advancements and prototype solutions.
• Collaborate with cross-functional teams to integrate AI solutions.
• Mentor other engineers and contribute to AI engineering culture.
• Drive technical innovation for competitive advantages.

Requirements

• Degree in Computer Science, Mathematics, AI, or related field.
• 5+ years of Machine Learning experience focused on generative AI.
• Strong expertise in deep learning frameworks (PyTorch or TensorFlow).
• Hands-on experience with LLMs and diffusion models.
• Proficiency in Python and agentic libraries.
• Deep understanding of RAG, embeddings, and vector databases.
• Experience with fine-tuning LLMs and reinforcement learning.
• Proven track record of building AI-driven applications.
• Strong problem-solving skills for ambiguous challenges.
• Passion for solving complex problems and learning new technologies.

Benefits

• Competitive salary.
• Flexible PTO and remote work options.
• Access to latest AI tools and resources.
• Opportunity to shape the future of autonomous AI applications.
• Collaborative culture with direct access to leadership.
• Conference speaking opportunities and support for open-source contributions.