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AI Engineer — RapidCanvas

June 6, 2026

Location: Remote (United States) Compensation: $140,000 – $200,000 base Visa Sponsorship: None available — US Citizen or Green Card holder required Experience Level: 5+ years Employment Type: Full-Time About RapidCanvas RapidCanvas is an enterprise AI company based in Austin, Texas, founded in 2021. The company offers a hybrid AI platform that integrates autonomous AI agents with human expertise, allowing businesses to build, deploy, and scale custom AI solutions significantly faster and at lower cost than traditional methods. The no-code platform supports full-lifecycle AI including data integration, predictive analytics, and workflow automation. Series A with $39.5M raised, serving manufacturing, retail, and financial services customers globally. About The Role As an AI Engineer at RapidCanvas, you will design, train, and deploy machine learning models and LLM-powered systems that power an automated machine learning platform for enterprise users. You will bridge the gap between complex data science and intuitive user experiences — owning everything from RAG pipeline architecture to production deployment and API development. What You'll Own <ul><li>Design, train, and optimize ML models and LLMs to solve complex predictive and generative tasks within the RapidCanvas platform</li><li>Architect and implement robust RAG workflows — vector database management, embedding optimization, and advanced prompt engineering</li><li>Deploy scalable AI services using containerization and orchestration tools, ensuring high availability and low-latency inference</li><li>Build and maintain automated data ingestion and preprocessing pipelines to transform raw enterprise data into high-quality training sets and feature stores</li><li>Establish rigorous evaluation frameworks to measure model accuracy, drift, and computational efficiency</li><li>Develop secure, high-performance APIs to expose AI capabilities to the frontend </li></ul>Requirements <ul><li>5+ years of professional experience moving ML models into production environments</li><li>Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field</li><li>Proven experience implementing LLMs and RAG architectures using LangChain, LlamaIndex, OpenAI APIs, or similar</li><li>Advanced Python proficiency including FastAPI or Flask for model serving</li><li>Hands-on experience with vector databases — Pinecone, Milvus, Weaviate, or equivalent</li><li>MLOps experience — Docker, Kubernetes, MLflow, Airflow, or similar for full ML lifecycle management</li><li>Cloud platform experience — AWS, GCP, or Azure</li><li>Experience with SQL/NoSQL databases and large-scale data processing</li><li>US Citizen or Green Card holder — no visa sponsorship available </li></ul>Nice to Have <ul><li>Experience with Auto-ML or No-Code/Low-Code data science platforms</li><li>Proficiency with gradient-boosted trees (XGBoost, LightGBM), time-series forecasting, and deep learning frameworks</li><li>Experience with automated feature engineering and hyperparameter tuning (Optuna, Ray Tune)</li><li>Familiarity with Spark or Dask for large-scale data processing</li><li>Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field </li></ul>Benefits <ul><li>Health, dental, and vision insurance</li><li>Outcome-oriented flexibility — focus on impact over hours logged </li></ul>Interview Process <ul><li>First-round team interview — technical and collaborative session</li><li>Technical assessment — practical skills evaluation or take-home assignment</li><li>Deep-dive interview — architecture, methodologies, and project experience</li><li>Cultural alignment and leadership interview with key stakeholders </li></ul>Logistics <ul><li>Role is fully remote within the United States</li><li>US Citizen or Green Card holder required — no visa sponsorship or relocation assistance available </li></ul>Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of RapidCanvas.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...