AI Engineer

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!

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.

• →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.

• 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.

• 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.

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!