AI Platform Engineer
About the role
We are forming our AI team with two foundational hires: an AI Platform Engineer (this role) and an AI Product Engineer. You’ll work directly with the VP of AI and to design, build, and ship intelligent features. This is a hands-on builder role: you’ll be delivering user-facing AI features from day one.
This is a rare opportunity to define the blueprint for how AI gets built at a fast-moving startup — and to see your work adopted by real-world, non-technical users.
What you’ll do
- Design and build the systems that power core AI features: LLM service layers, prompt execution environments, evaluation pipelines, and logging infrastructure
- Collaborate with platform and backend engineering teams to integrate AI into ReadyOn’s architecture
- Create internal tools and abstractions to enable fast iteration on AI product features across the team
- Own observability, performance, and correctness for AI workflows in production
- Build automated and human-in-the-loop evals for AI outputs, including agent decision-making and tool use
More interested in designing AI-native features and crafting agent behaviors than building the underlying systems and infrastructure? We’re also hiring an AI Product Engineer.
Your background
- You have strong backend or systems engineering experience and want to pivot into applied AI
- You’ve explored LLM APIs or agent/LLM-related open source projects, maybe as part of a side project. Experience building AI systems in production is a plus but not required
- You’ve built or maintained infrastructure that other teams depended on for core functionality
- You’re fluent in Python and JavaScript/TypeScript, or have the experience to pick them up quickly
Why you’ll love this role
- Massive impact: Your work will improve the lives of millions of workers and transform how huge enterprises operate
- AI-native foundation: You’ll be building technology designed for AI from day one, not retrofitted into old tools
- High-stakes deployments: You’ll see your work in action at stadiums, hotels, resorts, and hospitals across the world
- Huge market: Even a 1% improvement in staffing efficiency can save billions
To apply
If you’re excited about this opportunity and believe you’d be a great fit, we’d love to hear from you! Send a short note to careers@readyon.ai on why you’re interested in joining ReadyOn.
We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
AI Platform Engineer
About the role
We are forming our AI team with two foundational hires: an AI Platform Engineer (this role) and an AI Product Engineer. You’ll work directly with the VP of AI and to design, build, and ship intelligent features. This is a hands-on builder role: you’ll be delivering user-facing AI features from day one.
This is a rare opportunity to define the blueprint for how AI gets built at a fast-moving startup — and to see your work adopted by real-world, non-technical users.
What you’ll do
- Design and build the systems that power core AI features: LLM service layers, prompt execution environments, evaluation pipelines, and logging infrastructure
- Collaborate with platform and backend engineering teams to integrate AI into ReadyOn’s architecture
- Create internal tools and abstractions to enable fast iteration on AI product features across the team
- Own observability, performance, and correctness for AI workflows in production
- Build automated and human-in-the-loop evals for AI outputs, including agent decision-making and tool use
More interested in designing AI-native features and crafting agent behaviors than building the underlying systems and infrastructure? We’re also hiring an AI Product Engineer.
Your background
- You have strong backend or systems engineering experience and want to pivot into applied AI
- You’ve explored LLM APIs or agent/LLM-related open source projects, maybe as part of a side project. Experience building AI systems in production is a plus but not required
- You’ve built or maintained infrastructure that other teams depended on for core functionality
- You’re fluent in Python and JavaScript/TypeScript, or have the experience to pick them up quickly
Why you’ll love this role
- Massive impact: Your work will improve the lives of millions of workers and transform how huge enterprises operate
- AI-native foundation: You’ll be building technology designed for AI from day one, not retrofitted into old tools
- High-stakes deployments: You’ll see your work in action at stadiums, hotels, resorts, and hospitals across the world
- Huge market: Even a 1% improvement in staffing efficiency can save billions
To apply
If you’re excited about this opportunity and believe you’d be a great fit, we’d love to hear from you! Send a short note to careers@readyon.ai on why you’re interested in joining ReadyOn.
We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
AI Platform Engineer
About the role
We are forming our AI team with two foundational hires: an AI Platform Engineer (this role) and an AI Product Engineer. You’ll work directly with the VP of AI and to design, build, and ship intelligent features. This is a hands-on builder role: you’ll be delivering user-facing AI features from day one.
This is a rare opportunity to define the blueprint for how AI gets built at a fast-moving startup — and to see your work adopted by real-world, non-technical users.
What you’ll do
- Design and build the systems that power core AI features: LLM service layers, prompt execution environments, evaluation pipelines, and logging infrastructure
- Collaborate with platform and backend engineering teams to integrate AI into ReadyOn’s architecture
- Create internal tools and abstractions to enable fast iteration on AI product features across the team
- Own observability, performance, and correctness for AI workflows in production
- Build automated and human-in-the-loop evals for AI outputs, including agent decision-making and tool use
More interested in designing AI-native features and crafting agent behaviors than building the underlying systems and infrastructure? We’re also hiring an AI Product Engineer.
Your background
- You have strong backend or systems engineering experience and want to pivot into applied AI
- You’ve explored LLM APIs or agent/LLM-related open source projects, maybe as part of a side project. Experience building AI systems in production is a plus but not required
- You’ve built or maintained infrastructure that other teams depended on for core functionality
- You’re fluent in Python and JavaScript/TypeScript, or have the experience to pick them up quickly
Why you’ll love this role
- Massive impact: Your work will improve the lives of millions of workers and transform how huge enterprises operate
- AI-native foundation: You’ll be building technology designed for AI from day one, not retrofitted into old tools
- High-stakes deployments: You’ll see your work in action at stadiums, hotels, resorts, and hospitals across the world
- Huge market: Even a 1% improvement in staffing efficiency can save billions
To apply
If you’re excited about this opportunity and believe you’d be a great fit, we’d love to hear from you! Send a short note to careers@readyon.ai on why you’re interested in joining ReadyOn.
We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!