Ai Machine Learning Engineer : Ai Shopping Agents (Remote)

Constructor; Madrid; A distancia; USD 80.000 - 120.000; Jornada completa

Descripción de la vacante

A technology company is looking for an AI Machine Learning Engineer in Madrid, Spain, to develop real-time workflows and agent products. Ideal candidates will have over 4 years of industry experience, expertise in Python, SQL, and Information Retrieval techniques. Benefits include unlimited vacation and remote work opportunities.

Servicios

Unlimited vacation time

Work from home stipend

Training and development budget

Maternity & Paternity leave

Formación

• Proficient in Python and SQL for end-to-end ML product development.
• Solid understanding of ML evaluation methodologies and key IR metrics.
• Experience building autonomous agents is a strong plus.

Responsabilidades

• Design real-time agentic workflows for user tasks.
• Own the data lifecycle for AI workflows including ingestion and indexing.
• Collaborate with Product, Design, and other teams for AI product features.

Conocimientos

Information Retrieval techniques

Python

SQL

machine learning

NLP

Educación

4+ years of industry experience

Experience with Retrieval-Augmented Generation (RAG)

Herramientas

FastAPI

Docker

AWS

Descripción del empleo

AI Machine Learning Engineer :

AI Shopping Agents (Remote)

AI Machine Learning Engineer :

AI Shopping Agents (Remote)

Get AI-powered advice on this job and more exclusive features.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.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

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 suggestionsOwn the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexingDesign metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectationsGenerate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systemsCollaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product featuresImprove the speed, quality, and efficiency of our AI systems and engineering processesTake 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 NLPExcellent skills in delivering and communicating business valueProficient 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 solutionsStrong 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 plusNice to have :

experience with automatic prompt optimization techniques (e.G., DSPy)Solid understanding of ML evaluation methodologies and key IR metricsPassion 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, LangGraphData Stores :

Vector Databases, DynamoDB, AWS S3, AWS RDSCloud & MLOps :

AWS, Databricks, Ray

Benefits

Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per yearFully remote team - choose where you live️ Work from home stipend! We want you to have the resources you need to set up your home officeApple laptops provided for new employeesTraining and development budget for every employee, refreshed each yearMaternity & Paternity leave for qualified employeesWork with smart people who will help you grow and make a meaningful impactThis 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 resultsRegular 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.Seniority level

Seniority level Mid-Senior levelEmployment type

Employment type Full-timeJob function

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