🛠 Tech Stack

💼 About This Role

You'll design and develop AI agent systems using single and multi-agent architectures. You'll implement LLMOps pipelines including A/B testing, human-in-the-loop feedback, and systematic evaluations. This role offers the chance to shape AI strategy across the product portfolio while maintaining a hands-on technical leadership position.

🎯 What You'll Do

• Architect and develop single/multi-agent AI systems
• Implement communication protocols like MCP and A2A
• Manage information lifecycle for AI (chunking, embeddings, RAG)
• Establish LLMOps pipelines with A/B testing and evals

📋 Requirements

• Solid software engineering experience with technical leadership
• Proven ability to drive architectural decisions hands-on
• Experience leading complex projects ensuring quality and delivery
• Ability to mentor team members and mediate technical conflicts

✨ Nice to Have

• Experience with multi-model environments and provider selection
• Background in AI engineering or machine learning systems
• Experience creating technical communities and knowledge sharing

🎁 Benefits & Perks

• 🏖️ Remote work flexibility
• 💰 Competitive compensation (estimated USD range)
• 📈 Career growth in AI engineering leadership
• 🛠️ Hands-on technical impact across product portfolio

🚩 Heads Up

• Requirements list is long and generic, mixing leadership and hands-on expectations without clear separation
• No specific years of experience mentioned for seniority level