Founding Engineer

Plexe is building the future of machine learning development, enabling anyone to create production-ready ML models using natural language instructions. Their multi-agent system autonomously handles everything from data preprocessing to model deployment, reducing development time from months to hours.

As a Founding Engineer, you'll be at the forefront of developing cutting-edge AI technology. You'll architect multi-agent systems, optimize distributed ML training, and create AI agents that autonomously handle the entire model development lifecycle. This role combines deep technical expertise in machine learning with innovative system design.

The company was recently featured in Business Insider as one of the top 10 AI agent startups at Y Combinator's Spring 2025 Demo Day, and their customers are already building complex, real-world ML solutions.

Key Responsibilities:

• Design and implement multi-agent orchestration systems for automated ML pipelines
• Build LLM integrations for natural language → production ML models
• Scale distributed training infrastructure
• Create self-improving AI agents that optimize model performance

Required Skills:

• 3+ years building production AI/ML systems
• Deep LLM experience: prompt engineering, fine-tuning, agent frameworks
• Multi-agent systems expertise: orchestration, tool use, planning algorithms
• Strong knowledge of ML frameworks: PyTorch, scikit-learn, distributed training
• Python expertise with cloud platforms (AWS/GCP)

The interview process includes an intro call with founders, a coding round, and a full-day work trial. This is an exceptional opportunity to join a promising AI startup at an early stage and help shape the future of machine learning development.