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ROLLER

AI Engineer

Posted Yesterday
Easy Apply
In-Office or Remote
7 Locations
4-6 Annually
Mid level
Easy Apply
In-Office or Remote
7 Locations
4-6 Annually
Mid level
The AI Engineer will develop an Enterprise GenAI platform, design RAG systems, build AI pipelines, and implement evaluation frameworks while collaborating with cross-functional teams.
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About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

Role Overview

Roller is looking for a talented AI Engineer with 3-5 years of experience to help build the AI platform and intelligent automation systems enabling AI powered business verticals. The ideal candidate will have hands-on experience designing and deploying GenAI platform and solutions using modern LLM frameworks, RAG architectures, and scalable AI pipelines.

Key Responsibilities
  • Develop Enterprise GenAI platform and services for various business verticals using Python and modern frameworks such as LangChain.
  • Design and implement Retrieval Augmented Generation (RAG) systems using vector databases and LLMs.
  • Build scalable AI pipelines for ingestion, embedding, retrieval, and generation workflows.
  • Integrate LLMs with enterprise data sources and APIs.
  • Implement LLM evaluation frameworks to measure model performance, hallucination, and response quality.
  • Establish AI governance and Guardrails practices including safety checks, monitoring, and responsible AI controls.
  • Optimize prompt engineering strategies and model interactions for accuracy and performance.
  • Implement observability for AI systems and build AI usage dashboards for prompt tracing, token usage monitoring, latency tracking, Agent usage and evaluation metrics.
  • Collaborate with cross functional teams to deploy production-grade AI solutions.
Required Skills
  • Strong programming experience in Python.
  • Experience with Agentic AI framework such as LangGraph
  • Hands-on experience building RAG-based applications.
  • Experience working with Vector Databases (Pinecone, Weaviate, OpenSearch, etc.).
  • Knowledge of AI pipeline architecture and model orchestration.
  • Experience with LangChain or similar LLM orchestration frameworks.
  • Experience implementing LLM evaluation frameworks and benchmarking methods.
  • Understanding of AI governance, responsible AI, and model guardrails.
Nice to Have skills
  • Experience with workflow automation tools such as n8n.
  • Experience deploying LLM systems in production environments.
  • Advanced skills such as LLM Fine tuning, Self LLM hosting, Voice AI.
  • Familiarity with cloud AI platforms (AWS, GCP, Azure).
  • Venue management domain experience.

What We Offer

  • Opportunity to work on cutting-edge Generative AI systems.
  • Collaborative engineering culture focused on innovation.
  • Exposure to modern AI architectures including agents, RAG, and automation.
  • Competitive compensation and growth opportunities
Why Join Us?
  • Drive the vision and scale of the company’s AI program in a rapidly growing SaaS environment.
  • Work at the intersection of technology, operations, and customer value to deliver meaningful business outcomes.
  • Collaborate with leaders across CS, Support, Product, RevOps, and IT to align strategy and execution.
  • Transform ideas into scalable solutions using AI, automation, portals, and integrated systems.

Perks!
  • You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
  • 4 ROLLER Recharge days per year (When we hit our goals each quarter, we take a well-earned day off together to relax, recharge, and celebrate our wins).
  • Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
  • Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
  • 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
  • Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
  • Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect
  1. Initial call with our Talent Acquisition Manager
    You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
  2. Interview with the Hiring Manager
    You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
  3. Loop Interviews
    This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
  4. Offer
    If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

Top Skills

Agentic Ai Framework
AWS
Azure
GCP
Langchain
Opensearch
Pinecone
Python
Vector Databases
Weaviate

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