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Open nowPosted 415 days ago

Senior AI Engineer (Customer Facing)

RapidCanvas2 open roles

Where
Mumbai
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Your applicationOpen nowSenior AI Engineer (Customer Facing)RapidCanvas · Mumbai

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 415 days ago

The posting

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.
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