AI Machine Learning Engineer: AI Shopping Agents

About Us

Constructor is a U.S. based company that has been in the market since 2019, building a next-generation platform for search and discovery in ecommerce. Its search engine is entirely invented in-house, utilizing transformers and generative LLMs, and powers over 1 billion queries every day across 150 languages and roughly 100 countries.

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.