[Remote] Sr. AI Engineer (Customer Facing)

Descrição da Vaga

Requisitos

• 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

Responsabilidades

• 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

Benefícios