Senior AI Research Engineer

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses.

We are also building Beam AI, an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency.

Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures.'

Position Description

As a Senior AI Research Engineer, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.

In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.

Roles & Responsibilities

• Contribute to research and development initiatives focused on Computer Vision or NLP and Deep Learning applied to construction-related data.
• Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files.
• Contribute development of multi-modal models that integrate vision with language-based features (NLP / LLMs).
• Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility.
• Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications.
• Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace.
• Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges.

Skills & Requirements

Why Work With Us

Skills Required

Computer Vision, Unsupervised Learning, Deep Learning, Tensorflow, pruning , Opencv, Image Processing, Pytorch, Clustering, feature extraction , Kubernetes, Python, Docker, dimensionality reduction , Transformers