Senior AI Engineer (Customer Facing)

About Us:

Who We Are Looking For:

Roles & Responsibilities:

• 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.

• 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.

• 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.

• 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).

• Proven ability to partner with enterprise stakeholders.
• Excellent presentation skills.
• Comfortable working independently.
• Manage multiple projects simultaneously.

• 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.