Sr. AI Engineer (Customer Facing) Remote - USA Learn more →

Rapidcanvas; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Strong leadership and funding

Opportunity to build new business verticals

Job summary

A pioneering AI firm is seeking an AI Engineer to design and deliver cutting-edge AI applications. The ideal candidate will have over 5 years of experience in AI/ML engineering, with skills in Python, customer communication, and project management. Responsibilities include direct client interaction, architecting intelligent systems, and ensuring successful project integration. Join a high-impact environment backed by top-tier investors and contribute to scalable AI solutions for enterprise clients.

Qualifications

• Minimum 5+ years of hands-on experience in AI/ML engineering.
• Recent exposure to LLMs or intelligent agents is required.
• Proficiency in Python and scalable backend services.

Responsibilities

• Interact directly with customers to understand their needs.
• Architect and build intelligent agent systems.
• Ensure seamless integration of AI solutions across projects.

Skills

Applied machine learning

Customer communication

Python programming

AI engineering

API development

Project management

Tools

LangChain

LangGraph

Pinecone

Weaviate

FAISS

Job description

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.

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.
  
• 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.
  

Champion Best Practices

• Write clean, maintainable Python code.
• Ensure high performance, accuracy, and scalability.
  

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.