AI Machine Learning Engineer

Summary

Join Constructor, a next-generation ecommerce search and discovery platform, as an experienced AI Engineer. You will design and build agent products, focusing on developing and evaluating sophisticated RAG pipelines and agentic workflows to power new shopping experiences. The role involves architecting real-time workflows for complex user tasks, owning the data lifecycle for AI workflows, designing performance metrics, generating product hypotheses, and collaborating with cross-functional teams. You will leverage LLMs, RAG, and agentic systems to improve the speed, quality, and efficiency of AI systems. Constructor is a U.S.-based company using its proprietary search engine by some of the biggest ecommerce companies in the world. The company values empathy, openness, curiosity, and continuous improvement.

Requirements

• 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 big data stack for end-to-end ML product development, with experience working 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
• Solid understanding of ML evaluation methodologies and key information retrieval metrics
• Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks

Responsibilities

• Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open ended queries to provide users with accurate and contextually relevant answers and product suggestions
• Own the end-to-end data lifecycle for AI workflows, vector database ingestion and indexing
• Design metrics to evaluate the relevance and performance of query results, ensuring they align 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

Preferred Qualifications

Experience with automatic prompt optimization techniques, such as DSPy

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
• Regular team offsites to connect and collaborate