AI Engineer (Customer Facing)
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
