AI Engineer, Agent Platform

What you'll do

• Develop the agent runtime for context assembly, tool invocation, model routing, and workflow tracking across products.
• Build evaluation and observability systems and improve context retrieval, ranking, compression, and memory.
• Integrate and benchmark foundation models, build internal tools, and collaborate with product to ship agent concepts.

What they ask for

• Demonstrable experience shipping an AI product with real users.
• Hands-on familiarity with modern AI development tooling and ability to work independently end to end.
• Strong proficiency in Python, Go, or Node and solid backend engineering experience; sufficient React or Next.js skills to build internal tools.
• Perspective on agent design, including context management, tool-calling protocols, evaluation, and tradeoffs among fine-tuning, prompting, and scaffolding.

Nice to have

• Experience building or operating a multi-agent system in production.
• Experience with evaluation frameworks, prompt iteration, fine-tuning, public technical artifacts, or integrating LLMs with complex real-world data at scale.

Pay

$120,000 — $220,000 USD annual base salary

Tools

Python, Go, Node, React, Next.js, MCP, LM-eval, LoRA

AI focus

Build an agent platform for AI products, including agent runtime and orchestration, context engineering, evaluation and observability, model integration and selection, and internal user-facing tools.