Overview
Description
About Us
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
Requirements
Constructor is seeking an experienced AI Engineer to design and build our Agent Products. In this role, you will focus on developing and rigorously evaluating sophisticated RAG pipelines and agentic workflows that power new ways of shopping. Our LLM-powered agents utilize various tools to interact with customers’ catalogs, enable advanced retrieval, and assist with browsing to answer open-ended user queries. These agents provide high-quality, well-cited answers and deliver exceptional product recommendations.
Responsibilities
Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions
Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing
Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations
Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems
Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features
Improve the speed, quality, and efficiency of our AI systems and engineering processes
Take ownership of systems and designs from conception through to deployment and maintenance
Qualifications
4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP
Excellent skills in delivering and communicating business value
Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions
Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)
Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus
Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)
Solid understanding of ML evaluation methodologies and key IR metrics
Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks
Tech Stack
Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph
Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS
Cloud & MLOps: AWS, Databricks, Ray
Benefits
️ Unlimited vacation time – we strongly encourage all of our employees take at least 3 weeks per year
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
Maternity & Paternity leave for qualified employees
Work with smart people who will help you grow and make a meaningful impact
This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.
Regular team offsites to connect and collaborate
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
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