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.

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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.

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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.

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Roles & Responsibilities

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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

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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.