AI Reliability Engineer
AI, INC.
Seattle, United States of America
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Remote
Seattle, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Automation of Tests
Azure
Cloud Computing
Continuous Integration
DevOps
Distributed Systems
Monitoring of Systems
Python
Software Engineering
Datadog
Large Language Models
Grafana
Prompt Engineering
Build Management
Production Code
Virtual Agents
Cloudwatch
Job description
You will work across evaluation pipelines, observability, cloud infrastructure, and CI/CD for Palona's AI agent platform. The role is equal parts DevOps and AI reliability: managing production infrastructure while building the tooling that keeps AI agents performing at quality., As an AI Reliability Engineer, you will:
- Design and build observability systems that detect quality degradation, latency issues, and system anomalies in production, including instrumentation, dashboards, and alerting
- Write and maintain automated tests for agent output quality, including deterministic checks and LLM-as-judge evaluations
- Develop release and validation systems that automate deployments across environments and enforce quality gates for AI-powered products
- Build and evolve platform infrastructure across environments using infrastructure as code, with a focus on reliability, scalability, and cost efficiency
- Build and extend evaluation pipelines that assess AI agent conversation quality, accuracy, and safety, collaborating with product and engineering to evolve evaluation criteria
- Design and build internal tools and services that support AI reliability, evaluation, and operational workflows
- Architect new systems from scratch to address emerging reliability and quality challenges across the AI agent platform
- Write production-grade code for reliability and evaluation infrastructure, contributing as a software engineer - not just an operator
Requirements
Required
- Minimum 2 years of professional software engineering experience
- Proficiency in Python
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with monitoring and observability tools (Datadog, CloudWatch, Grafana, or similar)
- Familiarity with CI/CD pipelines and infrastructure as code
- Experience with APIs and distributed systems
- Willingness to learn new AI/LLM concepts, frameworks, and technologies
Preferred
- Experience writing test frameworks or automated evaluation systems
- Experience building internal tools or developer platforms
- Exposure to LLMs, prompt engineering, or AI agent systems
- Startup experience, or ability to thrive in fast-paced environments
- Background in NLP, computer vision, or AI agent systems
Benefits & conditions
Food provided, AD&D insurance, 401(k), Health insurance, Paid time off, Vision insurance, Dental insurance, Family leave, * Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Work From Home
- Free Food & Snacks
- Stock Option Plan
About the company
Palona brings the newest advancements in generative, multimodal AI, Real World AI, to the hospitality industry. Our engineers deliver at a fast pace to stay ahead of the AI industry, employing generative AI models to power products that are constantly evolving. In this environment, traditional software excellence principles must adapt to probabilistic outputs - AI systems don't fail the way conventional software does. This role exists to build the engineering discipline that catches failures before customers do.