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 make enterprise-grade AI accessible. They are seeking a highly motivated and skilled AI Engineer to design, build, and deliver cutting-edge AI applications for enterprise clients while directly interfacing with customers to understand their business requirements.
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
Company Overview