Job Description

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

Research Engineer-II,

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, Image Processing

, 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

3-5 years

of experience in applied AI/ML and research with a strong focus on

Computer Vision

and

Deep Learning

. Solid understanding of

image processing

, visual document understanding, and feature extraction from visual data. Familiarity with

SVG graphics

,

NLP

, or

LLM-based

architectures is a plus. Deep understanding of unsupervised learning techniques like

clustering, dimensionality reduction

, and representation learning. Proficiency in Python and ML frameworks such as

PyTorch

,

OpenCV

,

TensorFlow

, and

HuggingFace Transformers

. Hands-on experience with model optimization techniques (e.g.,

quantization

,

pruning

,

knowledge distillation

). - Good to have Experience with version control systems (e.g.,

Git

), project tracking tools (e.g.,

JIRA

), and cloud environments (

GCP

,

AWS

, or

Azure

). Familiarity with

Docker

,

Kubernetes

, and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills.

Why Work With Us?

Be part of a visionary team building a

first-of-its-kind AI solution for the construction industry

. Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. Culture that encourages ownership, innovation, and growth. * Opportunities for fast learning, mentorship, and career progression.