

Rapid Canvas
https://rapidcanvas.aiAbout
RapidCanvas is the trusted partner for transforming your business with AI, pioneering the only hybrid enterprise AI platform that combines autonomous agents with human experts. We make enterprise-grade AI accessible to all organizations, helping them unlock the hidden value in their data without requiring the technical expertise or massive investment it used to take.
Our unique approach delivers measurable business outcomes 10X faster at 80% lower cost compared to traditional solutions, turning what was once impossible into practical, everyday reality. RapidCanvas works with industry leaders in manufacturing, retail and consumer goods, financial services, and infrastructure to drive real business transformation over agentic AI hype.
Recognized as a top 5 Data Science and Machine Learning platform by independent research firm G2 for customer satisfaction.
Visit rapidcanvas.ai to learn more or connect with us on YouTube, Instagram, Facebook, and X.
Tech stack
Candid answers by the company
Remote
Jobs at Rapid Canvas
We are looking for back end engineering experts with the passion to take on new challenges in a high growth startup environment. If you love finding creative solutions to coding challenges using the latest tech stack such as Java 18+, Spring Boot 3+, then we would like to speak with you.
Roles & Responsibilities
- You will be part of a team that focuses on building a world-class data science platform
- Work closely with both product owners and architects to fully understand business requirements and the design philosophy
- Optimize web and data applications for performance and scalability
- Collaborate with automation engineering team to deliver high-quality deliverables within a challenging time frame
- Produce quality code, raising the bar for team performance and speed
- Recommend systems solutions by comparing advantages and disadvantages of custom development and purchased alternatives
- Follow emerging technologies
Key Skills Required
- Bachelor’s degree (or equivalent) in computer science
- At least 6 years of experience in software development using Java / Python, SpringBoot, REST API and scalable microservice frameworks.
- Strong foundation in computer science, algorithms, and web design
- Experience in writing highly secure web applications
- Knowledge of container/orchestration tools (Kubernetes, Docker, etc.) and UI frameworks (NodeJS, React)
- Good development habits, including unit testing, CI, and automated testing
- High growth mindset that challenges the status quo and focuses on unique ideas and solutions
- Experience on working with dynamic startups / high intensity environment would be a Plus
- Experience working with shell scripting, Github Actions, Unix and prominent cloud providers like GCP, Azure, S3 is a plus
Why Join Us
- Drive measurable impact for Fortune 500 customers across the globe, helping them turn AI vision into operational value.
- Be part of a category-defining AI company, pioneering a hybrid model that bridges agents and experts.
- Own strategic accounts end-to-end and shape what modern AI success looks like.
- Work with a cross-functional, high-performance team that values execution, clarity, and outcomes.
- Globally competitive compensation and benefits tailored to your local market.
- Recognized as a Top 5 Data Science and Machine Learning platform on G2 for customer satisfaction.
We are seeking a highly motivated and skilled AI Engineer. You will have strong fundamentals in applied machine learning. You will have a passion for building and deploying production-grade AI solutions for enterprise clients. You will be a key technical expert and the face of our company. You will directly interface with customers to design, build, and deliver cutting-edge AI applications. This is a customer-facing role. It requires a balance of deep technical expertise and excellent communication skills.
Roles & Responsibilities
Design & Deliver AI Solutions
- Interact directly with customers.
- Understand their business requirements.
- Translate them into robust, production-ready AI solutions.
- Manage AI projects with the customer's vision in mind.
- Build long-term, trusted relationships with clients.
Build & Integrate Agents
- Architect, build, and integrate intelligent agent systems.
- Automate IT functions and solve specific client problems.
- Use expertise in frameworks like LangChain or LangGraph to build multi-step tasks.
- Integrate these custom agents directly into the RapidCanvas platform.
Implement LLM & RAG Pipelines
- Develop grounding pipelines with retrieval-augmented generation (RAG).
- Contextualize LLM behavior with client-specific knowledge.
- Build and integrate agents with infrastructure signals like logs and APIs.
Collaborate & Enable
- Work with customer data science teams.
- Collaborate with other internal Solutions Architects, Engineering, and Product teams.
- Ensure seamless integration of AI solutions.
- Serve as an expert on the RapidCanvas platform.
- Enable and support customers in building their own applications.
- Act as a Product Champion, providing crucial feedback to the product team to drive innovation.
Data & Model Management
- Oversee the entire AI project lifecycle.
- Start from data preprocessing and model development.
- Finish with deployment, monitoring, and optimization.
Champion Best Practices
- Write clean, maintainable Python code.
- Champion engineering best practices.
- Ensure high performance, accuracy, and scalability.
Key Skills Required
Experience
- Minimum 5+ years of hands-on experience in AI/ML engineering or backend systems.
- Recent exposure to LLMs or intelligent agents is a must.
Technical Expertise
- Proficiency in Python.
- Proven track record of building scalable backend services or APIs.
- Expertise in machine learning, deep learning, and Generative AI concepts.
- Hands-on experience with LLM platforms (e.g., GPT, Gemini).
- Deep understanding of and hands-on experience with agentic frameworks like LangChain, LangGraph, or CrewAI.
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).
Customer & Communication Skills
- Proven ability to partner with enterprise stakeholders.
- Excellent presentation skills.
- Comfortable working independently.
- Manage multiple projects simultaneously.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of MLOps practices.
- Experience in the AI services industry or startup environments.
Why Join us
- High-impact opportunity: Play a pivotal role in building a new business vertical within a rapidly growing AI company.
- Strong leadership & funding: Backed by top-tier investors, our leadership team has deep experience scaling AI-driven businesses.
- Recognized as a top 5 Data Science and Machine Learning platform by independent research firm G2 for customer satisfaction.
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