AI Engineer

About the Company

RapidCanvas is a pioneer in hybrid enterprise AI. We combine autonomous agents with human expertise to make enterprise-grade AI accessible, delivering measurable outcomes 10X faster and at 80% lower cost for industry leaders in manufacturing, retail, financial services, and infrastructure.

Responsibilities

• Interact directly with customers to understand business requirements and translate them into production-ready AI solutions
• Architect, build, and integrate intelligent agent systems using frameworks like LangChain or LangGraph
• Develop grounding pipelines with retrieval-augmented generation (RAG)
• Oversee the entire AI project lifecycle from data preprocessing to deployment and monitoring
• Collaborate with internal Engineering and Product teams to provide feedback and drive innovation
• Write clean, maintainable Python code and champion engineering best practices

Requirements

• Minimum 5+ years of hands-on experience in AI/ML engineering or backend systems
• Recent exposure to LLMs or intelligent agents
• 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 agentic frameworks like LangChain, LangGraph, or CrewAI
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS)
• Excellent presentation and stakeholder management skills

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Knowledge of MLOps practices
• Experience in the AI services industry or startup environments