Applied AI Engineer

About the Role

RYZ Labs is seeking an experienced Applied AI Engineer to join one of their client's teams. This senior role focuses on building the intelligent AI layer for an agentic travel experience, translating cutting-edge techniques and state-of-the-art research into delightful, large-scale consumer experiences.

Responsibilities

• Work on Atlas’ agentic AI layer
• Prompting and orchestration
• Multi-step, stateful agentic workflows
• Tool-calling architectures with clear guardrails
• Consent-aware long-term memory systems
• Persona extraction and structured context modeling
• Autonomous booking optimization logic
• Real-time monitoring and autonomous intervention systems
• Evaluation frameworks for model selection, quality, cost, safety, and determinism

Qualifications

We are looking for someone who has:

• A Master’s Degree (or higher) in Computer Science or related technical field
• 5+ years experience in building systems integrated with deep learning models and LLMs
• Shipped large-scale AI systems to real users
• Experience building agentic systems with tool calling
• The ability to translate research into reliable, safe, production-grade systems
• Experience in building evaluation frameworks and harnesses for agentic workflows

We prefer candidates with experience with our technologies and architectural patterns, which include:

• Frontier language models (commercial and open-weight)
• Cloud and serverless infrastructure (AWS, Vercel, etc.)
• Durable workflow engines (Temporal, etc.)
• LLM observability/evaluation platforms (Braintrust, LangSmith, etc.)
• Persistent memory systems
• Relational and vector databases for durable state
• AI runtimes with streaming and tool execution