Senior 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

‍

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
‍

• 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.

‍
If you wish to apply for this position, please mail us your resume at [email protected] Please mention the position you are applying for in the subject line. We accept applications on a rolling basis and will get in touch with you based on active open positions.