Job Description
Note: The job is a remote job and is open to candidates in USA. RapidCanvas is a pioneer in hybrid enterprise AI, combining autonomous agents with human expertise to unlock hidden value in data. The company is seeking a highly motivated AI Engineer to design, build, and deliver cutting-edge AI applications while interfacing directly with customers. Responsibilities • 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 • 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 • 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 • 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 • Oversee the entire AI project lifecycle • Start from data preprocessing and model development • Finish with deployment, monitoring, and optimization • Write clean, maintainable Python code • Champion engineering best practices • Ensure high performance, accuracy, and scalability Skills • Minimum 5-10 years of hands-on experience in AI/ML engineering or backend systems • Recent exposure to LLMs or intelligent agents is a must • 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) • Proven ability to partner with enterprise stakeholders • Excellent presentation skills • Comfortable working independently • Manage multiple projects simultaneously • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) • Knowledge of MLOps practices • Experience in the AI services industry or startup environments Benefits • 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. Company Overview • Real AI transformation, accelerated. It was founded in 2021, and is headquartered in Austin, Texas, USA, with a workforce of 51-200 employees. Its website is Apply tot his job