AI Engineer at RapidCanvas | Torre
AI Engineer
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RapidCanvas

AI Engineer

RapidCanvas
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Emma
Emma
You'll transform enterprises by designing and deploying cutting-edge AI solutions directly with clients.
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Full-time

Legal agreement: Contractor

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Base compensation
USD3k - 8k/month

+ Health insurance

Negotiable
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Remote (specific timezone)
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GMT-07:00 to GMT+01:00
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Posted 5 days ago

Requirements and responsibilities

Sr. 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 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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