Attentive AI - Software Engineer II - Backend Development

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, while our Accelerate software provides end-to-end solutions for all commercial landscape maintenance and construction jobs through automated workflows.

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

Position Description :

We are looking for a Software Engineer to join our engineering team and help us develop and maintain various software products.

As a Back-end developer at Attentive, you will help us in the development of new smart web applications and you will be involved in the development of our internal ML/AI and processing pipelines.

Responsibilities :

- Take complete, end to end ownership of development and production pipelines of internal tools and consumer-facing products.

- Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services.

- Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable and readable codebases.

- Develop and implement high and low-level system design for newer projects.

- Develop scripts and set up the infrastructure for monitoring and logging for all deployed software.

- Evaluate, profile and improve the functionality of existing systems.

- Coordinate with internal teams to understand data processing pipelines and provide technical solutions.

- Effectively lead teams of junior developers and ensure high code quality through code reviews, automated linting, etc.

Requirements & Qualifications :

- Knowledge of messaging services like Apache Kafka, RabbitMQ.

- Experience in developing data processing pipelines.

- Experience in distributed web services development and chaining.

- Internally motivated, able to work proficiently both independently and in a team environment.

- Understanding of cloud services like AWS and GCP.

- Experience with DevOps technologies such as Docker, Kubernetes, Jenkins, CI/CD, etc

Good To Haves :

- Experience in developing production versions of deep learning applications.

- Understanding of Geographic Information Systems and related terminologies is preferred.

- Experience working in both start-up and enterprise culture.