Senior Machine Learning Engineer – Remote LLM & Multi-Agent AI Specialist

Further Details

Seeking a talented Software Engineer to lead machine learning initiatives, focusing on LLM post-training and multi-agent system development. This remote-first role requires proficiency in dataset construction and MLOps, catering to professionals eager to build robust, high-performance artificial intelligence systems in a dynamic private sector environment. Candidates will gain valuable experience by managing model evaluation and deployment lifecycles for global social platforms. This opportunity is perfect for engineers aiming to elevate their expertise in transformer architectures and AI safety while contributing to the future of social discovery technology.

Senior Software Engineer Roles in AI Development

This position offers a high-impact career opportunity within the private sector, specifically focusing on advanced Artificial Intelligence and Large Language Models. Successful candidates will lead technical strategies that directly influence global product performance.

• Positions: Senior ML Engineer
• Focus: LLM, Multi-Agent AI, MLOps
• Environment: Global Remote
• Benefits: Professional growth in a high-demand tech niche

Skills

• Expertise in Python programming language
• Proficiency with Transformer-based architectures
• Experience in LLM optimization and fine-tuning techniques
• Deep understanding of MLOps fundamentals
• Ability to design and implement multi-agent AI systems
• Competence in dataset construction and model evaluation

Duties and Responsibilities:

• Lead the machine learning direction for distributed teams
• Conduct LLM post-training and advanced fine-tuning processes
• Design and maintain robust multi-agent system architectures
• Develop and optimize evaluation and deployment workflows
• Enhance dialogue quality and system memory across social products
• Implement safety protocols to ensure reliable AI performance

How to apply

• 👉 Visit the official job portal through the provided application link.
• 📝 Prepare an updated CV highlighting your MLOps and Python project experience.
• 📩 Ensure your technical portfolio includes specific examples of LLM tuning.
• ⏳ Submit your application before the closing date of 18 December, 2026.
• ✅ Monitor your email for potential technical interview invitations.
• 🌐 Use the Apply Now button to complete the digital submission process.