# AI Machine Learning Engineer: AI Shopping Agents

**Company**: Constructor
**Location**: Oregon
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $80k - $120k USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://apply.workable.com/j/D15079EEBA?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c952dc65-160

## Description

## 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.

## Skills

### Required
- Python
- SQL
- big data stack
- Information Retrieval (IR) techniques
- Retrieval-Augmented Generation (RAG)
- automatic prompt optimization techniques

### Nice to have
- DSPy

---

Source: [Apply at apply.workable.com](https://apply.workable.com/j/D15079EEBA?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)