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AI Engineer (Customer Facing) About Us: RapidCanvas is a pioneer in hybrid enterprise AI. We combine autonomous agents with human expertise to make enterprise-grade AI accessible. We are the trusted partner for transforming businesses by unlocking the hidden value in data. We deliver measurable outcomes 10X faster and at 80% lower cost. We partner with industry leaders in manufacturing, retail, financial services, and infrastructure. Who We Are Looking For: We are seeking a highly motivated and skilled AI Engineer. You will have robust 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 seamles .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.