LLM Platform Engineer/Lead

📋 Description

• The LLM Platform Engineer/Lead will be responsible for creating scalable AI infrastructure and
• Design and develop internal AI frameworks, SDKs, and shared libraries to simplify LLM adoption
• Build reusable components for prompt management, evaluation, observability, monitoring, and AI
• Establish standardized approaches for using LLMs, embeddings, agents, and AI workflows.
• Enable engineering teams to integrate AI-powered features with minimal complexity and strong
• Own AI tooling initiatives from early experimentation through deployment and continuous improvement.

🎯 Requirements

• Several years of professional software engineering experience, with strong experience building
• Excellent Python programming skills and experience delivering production-grade software.
• Hands-on experience with LLM APIs such as OpenAI, Anthropic, or similar AI platforms.
• Practical experience building RAG pipelines, working with embeddings, vector databases, and AI
• Experience with prompt engineering, prompt versioning, evaluation methodologies, and AI
• Proven experience shipping at least one LLM-powered feature into production and improving it

🎁 Benefits

• Direct collaboration with senior leadership and high visibility across the organization.
• Opportunity to shape AI strategy and build impactful solutions from the ground up.
• Strong career growth and continuous learning opportunities in a rapidly evolving technology space.
• Chance to work with an experienced international team of engineers, entrepreneurs, and technology
• Flexible remote work arrangement.
• Home office setup budget to support a productive remote environment.