Sr. AI Engineer

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 5-10 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.