Principal AI Engineer

📋 Description

• Design and develop orchestration and abstraction layers connecting LLMs with tools, data, and
• Build and operate MCP servers while establishing standards for defining, exposing, and versioning
• Define tool-surface strategies, including the appropriate number of tools and APIs exposed to LLMs
• Establish when to use specialized sub-agents versus direct tool exposure and develop corresponding
• Design and optimize RAG systems covering chunking, embeddings, vector stores, hybrid search
• Create abstraction layers that decouple product teams from underlying models, tools, and providers.

🎯 Requirements

• Advanced English proficiency at C1/C2 level for fluent communication across distributed teams.
• 10+ years of experience in software or AI engineering, including hands-on development of LLM
• 4–5+ years of deep hands-on experience with LLM orchestration frameworks such as LangGraph
• Direct experience building MCP servers and implementing tool or function-calling integrations.
• Evidence-based expertise in designing effective LLM tool surfaces, including decisions around the
• Strong understanding of the tradeoffs between specialized sub-agents and direct tool exposure, with

🎁 Benefits

• Competitive salary paid in USD.
• 100% remote work.
• Independent Contractor agreement.
• Long-term contract.
• 2 weeks of paid time off (PTO).
• Holidays based on the North American calendar.