About the role

Aplyr's Quick Take

This role is for a senior Applied AI Engineer focused on developing advanced AI systems for travel experiences. You'll be applying research to create large-scale, user-facing AI solutions, working independently on complex workflows and system integrations.

Good fit

Ideal candidates have a Master's degree in Computer Science or a related field, with over 5 years of experience in deep learning and AI systems. A strong background in building agentic systems and a hands-on, problem-solving approach will help you succeed here.

Worth noting

The role emphasizes real-time monitoring and autonomous systems, which could be a unique challenge. The focus on cutting-edge technologies and large-scale applications may appeal to those looking to push the boundaries of AI in consumer experiences.

RYZ Labs is looking for an experienced Applied AI Engineer to join one of our clients’ teams, to build out the intelligent AI layer of the agentic travel experience. This is a senior role that will take cutting-edge techniques and state-of-the-art research and apply it to delightful, large-scale consumer experiences.

You will 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

QualificationsWe 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

Skills & Tags

rust aws ai data product

Aplyr's read

RYZ Labs is at the forefront of AI and machine learning innovation, attracting tech-savvy professionals eager to push boundaries in these fields.
Synthesized from recent postings & public sources

What's promising

•Strong focus on cutting-edge AI and machine learning solutions.
•Diverse range of technical roles indicates a robust growth trajectory.
•Recent hires suggest investment in both technical and strategic capabilities.

What to watch

•Competitive industry may pose challenges in maintaining market differentiation.
•Limited public information about company culture and work-life balance.
•Potentially high pressure due to the fast-paced nature of tech innovation.

Why RYZ Labs

•Specializes in AI-driven solutions with a focus on real-world applications.
•Combines technical expertise with strategic roles in staffing and partnerships.
•Actively recruits for niche roles, indicating tailored solutions and services.

Aplyr’s read is generated by AI from public sources. Was it useful?