AI Integration Engineer

The work in front of you:

You will integrate model capabilities into real workflows, not isolated demos. The role focuses on dependable orchestration, evaluation, review loops, and practical interfaces that help teams use automation with confidence.

What you will do:

• Build LLM-powered workflows, retrieval layers, and review-oriented product surfaces.
• Define evaluation criteria and monitor behavior across real operating scenarios.
• Connect AI capabilities to existing APIs, databases, and business workflows.
• Document system limits, failure states, and human review requirements clearly.

What you will bring:

• Production software experience with Node.js or Python and API-driven systems.
• Practical experience integrating LLM APIs, embeddings, or retrieval workflows.
• Understanding of evaluation, observability, and safe fallback behavior.
• A product mindset: automation must improve a real decision or workflow.

Useful extras:

• Experience with vector databases, AWS Bedrock, or agent orchestration patterns.
• Familiarity with data privacy and permission-sensitive applications.