AI Engineer (Customer Facing)

RapidCanvas is a pioneer in hybrid enterprise AI, combining autonomous agents with human expertise to make enterprise-grade AI accessible. They seek a highly motivated and skilled AI Engineer with strong fundamentals in applied machine learning and a passion for building and deploying production-grade AI solutions for enterprise clients. This customer-facing role requires deep technical expertise and excellent communication skills to design, build, and deliver cutting-edge AI applications.

Must Have

• Design and deliver robust, production-ready AI solutions for enterprise clients.
• Interact directly with customers to understand business requirements.
• Architect, build, and integrate intelligent agent systems using frameworks like LangChain or LangGraph.
• Implement LLM and RAG pipelines to contextualize LLM behavior with client-specific knowledge.
• Collaborate with customer data science teams and internal teams for seamless integration.
• Oversee the entire AI project lifecycle from data preprocessing to deployment and optimization.
• Write clean, maintainable Python code and champion engineering best practices.
• Minimum 5+ years of hands-on experience in AI/ML engineering or backend systems.
• Recent exposure to LLMs or intelligent agents.
• Proficiency in Python and building scalable backend services or APIs.
• Expertise in machine learning, deep learning, and Generative AI concepts.
• Hands-on experience with LLM platforms (GPT, Gemini) and agentic frameworks.
• Experience with vector databases (Pinecone, Weaviate, FAISS).
• Proven ability to partner with enterprise stakeholders and excellent communication skills.

Good to Have

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of MLOps practices.
• Experience in the AI services industry or startup environments.

Perks & Benefits

• High-impact opportunity in a rapidly growing AI company.
• Strong leadership and funding from top-tier investors.
• Leadership team with deep experience scaling AI-driven businesses.
• Recognized as a top 5 Data Science and Machine Learning platform by G2 for customer satisfaction.

About Us:

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.

Roles & Responsibilities:

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.

Implement LLM & RAG Pipelines

• 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.

Collaborate & Enable

• 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.

Data & Model Management

• 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.
• Champion engineering best practices.
• Ensure high performance, accuracy, and scalability.

Key Skills Required:

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