Backend Engineer

January 17

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Constructor

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Constructor is a company specializing in AI-powered search and product discovery platforms specifically designed for enterprise ecommerce brands. Their solutions include search and autosuggest, browse recommendations, category collections, quizzes, merchant controls, and AI shopping assistants. With a focus on personalization and improving key performance indicators (KPIs) like revenue and conversion rates, Constructor utilizes advanced AI/ML technologies to enhance user experiences and optimize ecommerce processes. Their proprietary Native Commerce Core™ technology allows for contextual and personalized product discovery, driving measurable business metrics and offering enterprise customers a fast return on investment (ROI).

Search • E-commerce • Product Discovery • Personalization • SaaS

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🛍️ eCommerce

🏢 Enterprise

💰 $55M Series A on 2021-09

📋 Description

• About the Team • The Ranking team, within the Machine Learning chapter, plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking algorithms with powerful capabilities that bring value to customers in the way they care the most about. • As a member of the Ranking team, you will be surrounded by and encouraged to use world-class analytical, engineering and machine-learning techniques on big data to shape the evolution and scale of our ranking algorithms. The team owns all stages of products ranking for Search, Browse, and Autocomplete experiences, including base ranking, second-stage ranking, and ranking explanation. • One of the main services the Ranking team owns is the ML Ranking Service which is a high-load distributed REST service deployed in the cloud and developed in Python programming language. The service extensively uses in-memory and NoSQL DBs (for signals and model metadata storage). We support service deployment and stability. We have monitoring set up with Prometheus, PagerDuty, Sentry, and custom internal APIs with FastAPI). • Challenges you will tackle • A primary focus of this job is to design, deliver & maintain highload real-time web services in close collaboration with other great engineers from the Ranking team. The job can consist of, but is not limited to: • Build, deploy, and support robust high-load machine learning-based real-time systems for search and browse experiences. • Collaborate with technical and non-technical business partners to develop and update ranking functionalities • Optimize current ranking service performance to process requests faster • Optimize signals delivery and retrieval (aka Feature Store) for machine learning model inference • Communicate with stakeholders within and outside the team

🎯 Requirements

• Experience in designing, developing & maintaining high-load distributed real-time services (in cloud) • Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources. • Experience with MLOps is a huge plus (delivering, loading, and serving ML models and related infrastructure) • Hands-on experience with setting up and improving CI/CD pipelines • Proficiency with Python and, as a plus, compiled languages like C, Rust, or Go. • Experience in server-side coding for web services, and a good understanding of API design principles. • Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty. • Familiarity with Service-Oriented Architecture, knowledge of communication protocols like Protobuf & familiarity with networking principles • Experience with NoSQL and relational databases, distributed systems, and caching solutions. • Experience with any of the major public cloud formation: AWS (ideally), Azure, GCP • Experience collaborating in cross-functional teams. • Excellent English communication skills. • Enjoy helping others around you grow as developers and be successful • Pick up new ideas and technologies quickly, love learning and talking to others about them • Love to experiment and use data and customer feedback to drive decision-making

🏖️ Benefits

• Compensation: base range of 90-110k USD + stock options + work from home bonus • Fully remote team - choose where you live • Work from home stipend! We want you to have the resources you need to set up your home office • Apple laptops provided for new employees • Training and development budget for every employee, refreshed each year • Parental leave for qualified employees • Work with smart people who will help you grow and make a meaningful impact