We are looking for a front end engineering expert with the passion to take on new challenges in a high growth startup environment. If you love finding creative solutions to UI challenges and collaborating across global teams is what you do easily, then we would like to speak with you. Role and Responsibilities You will be part of a team that focuses on building a world-class data science platform You will develop and debug complex software in multiple UI and web technologies You will determine best coding practices, development tools, and validation requirements Work closely with both product owners and designers to fully understand business requirements and design philosophy Work with Front end and Back-end developers to design, implement, test new features, and troubleshoot complex issues Work with QA and automation engineers to deliver high-quality deliverables within a challenging time frame You will have a passion for taking on complex challenges and finding creative solutions. Key Skills Required You will have at least 3+ years of experience in software development using web/UI technologies Programming in ReactJS, Redux, NodeJS and HTML/CSS will be highly preferred You will have substantial experience developing and debugging web applications for a variety of browsers You have strong knowledge of object-oriented concepts. You will have a solid understanding of cross-browser compatibility issues and workarounds You will have experience with the software development process, optimization techniques, and testing methodologies. You will have good development habits, including unit testing, CI, and automated testing. You will create the best UX experience for customers Experience on mobile would be considered as a plus Experience in working with dynamic / enterprise startups would be a plus A dynamic, fast-paced environment at the cutting edge of AI innovation. Opportunity to work with global teams and industry experts. Competitive salary and benefits package. Growth opportunities within a rapidly scaling company. Learn how you can transform your data into business breakthroughs with RapidCanvas
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 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. Learn how you can transform your data into business breakthroughs with RapidCanvas
RapidCanvas is the trusted partner for transforming your business with AI. We offer the only hybrid enterprise AI platform that combines autonomous agents with human experts to make enterprise-grade AI accessible to all organizations without the massive investment or deep technical expertise it used to take. Our unique approach delivers measurable business outcomes 10X faster at 80% lower cost, helping global leaders in manufacturing, retail and consumer goods, financial services, and infrastructure turn what was once impossible into practical, everyday reality. The Opportunity We re hiring customer-facing specialists focusing on AI Success & Solutions to lead end-to-end delivery of bespoke AI projects from initial solution design through full customer success ownership. This role merges the depth of a Solutions Architect with the accountability of a Customer Success leader. You will work across pre-sales and post-sales, ensuring our clients see real business value from our AI capabilities. The hiring seniority level will depend on the candi s depth of experience across customer-facing solution delivery, ability to drive measurable business impact, and de strated ownership in ambiguous or fast-paced environments. Responsibilities Pre-Sale: Discovery & Solutioning Partner with Sales and Data Science to deeply understand the customer s business context and challenges. Define clear problem statements, document current state processes, and align on success criteria and KPIs. Design solution architecture and data flow diagrams tailored to each use case. Assess data feasibility and AI-fit for the proposed use case. Set up technical and collaboration workspaces (Slack, Drive, JIRA, etc.) with naming and access discipline. Post-Sale: Execution & Success Own the customer relationship post-sale, acting as the single point of accountability. Manage the execution and implementation of the solution, ensuring clarity of scope, timeline, and handoffs. Lead all internal and customer-facing check-ins, with clear agendas, follow-ups, and next-step ownership. Facilitate UAT and deployment, ensuring measurable outcomes are vali . a and report on success metrics across -day milestones and ensure platform adoption. Operational Excellence Maintain rigorous documentation: dataset inventories, architectural diagrams, solution design docs, etc. Ensure consistent file naming, visual branding, and version control across all customer-facing material. Keep Slack, HubSpot, JIRA, and Confluence spaces current and synchronized. Proactively escalate blockers, risks, or unclear ownership to leadership with proposed resolutions. Strategic Growth Identify expansion opportunities based on solution usage and customer success metrics. Collaborate with Product to feed back client needs and usage patterns into roadmap priorities. Act as a trusted strategic advisor to the client, helping them envision and prioritize future AI investments. Ideal Qualifications At least six (6) years in a hybrid technical+customer-facing role (Solutions Architect, Customer Success, Engagement Manager, etc.). Strong understanding of applied Data Science, ML, GenAI (e.g., LLM Prompting, RAG). De strated success delivering AI or data-driven solutions in a consulting or startup setting. Excellent storytelling and business value articulation skills for both technical and executive audiences. Detail-oriented with exceptional project management and follow-through. Global client experience is strongly preferred. Prior experience in a fast-paced, ambiguous environment with high expectations for ownership and delivery. Professional fluency in English and Spanish is required. Portuguese is a plus. If you wish to apply for for in the subject line. We accept applications on a rolling basis and will get in touch with you based on active open positions. 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 compen ion and benefits tailored to your local ket. Recognized as a Top 5 Data Science and Machine Learning platform on G2 for customer isfaction
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. Who We Are Looking For: We are looking for a highly motivated individual with strong fundamentals in applied data science for a business setting and who shall enjoy evangelizing data science solutions to business stakeholders. This will be a customer facing role. Roles & Responsibilities: Interact directly with customers to design and develop machine learning applications and solutions based on the RapidCanvas platform Conduct and manage data science projects with customer s vision of success in mind in collaboration with their data science teams Build a long-term trusted relationship with the customer so that the customers can be led towards success Understand and empathize with customers pain points of building AI solutions Solve various problems for clients, making an impact across various domains and industries such as Banking, Insurance, Finance, Health, e-commerce, keting, Oil & Gas. Be the face of the company and our AI/ML expertise, directly interfacing with our partners around the globe (together with sales team) Understand the ket horizon for in ations in data science and utilize those to solve customer problems. Become an expert on the RapidCanvas platform and associated tools to teach, enable and support our customers in building their own applications. Collaborate with Data Science, Engineers, Product, to design customer s solutions. You will be working in a fast-paced environment alongside accomplished engineering, product and data science team members. Key Skills Required: 5 - 10 years of experience solving complex data problems using Machine Learning. Expert in ML modeling and Python coding. Customer-Facing Skills: Excellent presentation and communication skills; proven ability to partner with enterprise stakeholders. Preferred prior experience in AI services industry or startup environments; domain experience in finance, is a plus. Generative AI: Applied experience building LLM-based solutions(is a plus) and generative workflows. If you wish to apply for for in the subject line. We accept applications on a rolling basis and will get in touch with you. Why Join us: High-impact opportunity: Play a pivotal role in building a new business vertical within a rapidly growing AI company. Next-gen technology: Sell a flexible, AI-powered alternative to legacy SCM solutions. 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 isfaction.
Customer Facing Data Scientist (CFDS) About Us: 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. Who We Are Looking For: We are looking for a highly motivated individual with strong fundamentals in applied data science for a business setting and who shall enjoy evangelizing data science solutions to business stakeholders. This will be a customer facing role. Roles & Responsibilities: Interact directly with customers to design and develop machine learning applications and solutions based on the RapidCanvas platform Conduct and manage data science projects with customer s vision of success in mind in collaboration with their data science teams Build a long-term trusted relationship with the customer so that the customers can be led towards success Understand and empathize with customers pain points of building AI solutions Solve various problems for clients, making an impact across various domains and industries such as Banking, Insurance, Finance, Health, e-commerce, keting, Oil & Gas. Be the face of the company and our AI/ML expertise, directly interfacing with our partners around the globe (together with sales team) Understand the ket horizon for in ations in data science and utilize those to solve customer problems. Become an expert on the RapidCanvas platform and associated tools to teach, enable and support our customers in building their own applications. Collaborate with Data Science, Engineers, Product, to design customer s solutions. You will be working in a fast-paced environment alongside accomplished engineering, product and data science team members. Key Skills Required: 5 - 10 years of experience solving complex data problems using Machine Learning. Expert in ML modeling and Python coding. Customer-Facing Skills: Excellent presentation and communication skills; proven ability to partner with enterprise stakeholders. Preferred prior experience in AI services industry or startup environments; domain experience in finance, is a plus. Generative AI: Applied experience building LLM-based solutions(is a plus) and generative workflows. If you wish to apply for for in the subject line. We accept applications on a rolling basis and will get in touch with you. Why Join us: High-impact opportunity: Play a pivotal role in building a new business vertical within a rapidly growing AI company. Next-gen technology: Sell a flexible, AI-powered alternative to legacy SCM solutions. 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 isfaction. Before you go... go...
The Opportunity We re hiring customer-facing specialists focusing on AI Success Solutions to lead end-to-end delivery of bespoke AI projects from initial solution design through full customer success ownership. This role merges the depth of a Solutions Architect with the accountability of a Customer Success leader. You will work across pre-sales and post-sales, ensuring our clients see real business value from our AI capabilities. The hiring seniority level will depend on the candidate s depth of experience across customer-facing solution delivery, ability to drive measurable business impact, and demonstrated ownership in ambiguous or fast-paced environments. Responsibilities Pre-Sale: Discovery Solutioning Partner with Sales and Data Science to deeply understand the customer s business context and challenges. Define clear problem statements, document current state processes, and align on success criteria and KPIs. Design solution architecture and data flow diagrams tailored to each use case. Assess data feasibility and AI-fit for the proposed use case. Set up technical and collaboration workspaces (Slack, Drive, JIRA, etc.) with naming and access discipline. Post-Sale: Execution Success Own the customer relationship post-sale, acting as the single point of accountability. Manage the execution and implementation of the solution, ensuring clarity of scope, timeline, and handoffs. Lead all internal and customer-facing check-ins, with clear agendas, follow-ups, and next-step ownership. Facilitate UAT and deployment, ensuring measurable outcomes are validated. a and report on success metrics across 30/60/90-day milestones and ensure platform adoption. Operational Excellence Maintain rigorous documentation: dataset inventories, architectural diagrams, solution design docs, etc. Ensure consistent file naming, visual branding, and version control across all customer-facing material. Keep Slack, HubSpot, JIRA, and Confluence spaces current and synchronized. Proactively escalate blockers, risks, or unclear ownership to leadership with proposed resolutions. Strategic Growth Identify expansion opportunities based on solution usage and customer success metrics. Collaborate with Product to feed back client needs and usage patterns into roadmap priorities. Act as a trusted strategic advisor to the client, helping them envision and prioritize future AI investments. Ideal Qualifications At least six (6) years in a hybrid technical+customer-facing role (Solutions Architect, Customer Success, Engagement Manager, etc.). Strong understanding of applied Data Science, ML, GenAI (e.g., LLM Prompting, RAG). Demonstrated success delivering AI or data-driven solutions in a consulting or startup setting. Excellent storytelling and business value articulation skills for both technical and executive audiences. Detail-oriented with exceptional project management and follow-through. Global client experience is strongly preferred. Prior experience in a fast-paced, ambiguous environment with high expectations for ownership and delivery. Professional fluency in English and Spanish is required. Portuguese is a plus.