---
title: 'Senior Backend Engineer: Machine Learning Infrastructure at Constructor'
canonical: 'https://feeny.ai/job/senior-backend-engineer-machine-learning-infrastructure-constructor-emea-amr3mnt4fy3p'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Backend Engineer: Machine Learning Infrastructure at Constructor

- **Company:** Constructor
- **Location:** EMEA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/constructor/630a1c38-e1be-48f9-a565-fcfdd3db6f24

## Job description

## About Us

Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.

## About The Role

The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it. We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services. In the near and mid-term, our focus areas include:

- Making ML workloads easy to run, scale, and operate for every team
- Providing self-service, configurable infrastructure components to ML and product teams
- Owning and evolving core ML services and related pipelines with a high bar for reliability and performance

Challenges you will tackle

- Design, build, and operate high-load distributed backend services that power the company's ML infrastructure
- Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement
- Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
- Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
- Be responsible for what you and your team do

## Requirements

- 5+ years of professional experience in backend or platform engineering
- Extensive Python knowledge (our primary language)
- Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it
- Experience designing and building distributed, high-load services and APIs
- Strong knowledge of data structures, algorithms, and their trade-offs
- Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs
- Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes
- You are friendly and willing to help your teammates & others

Nice to have:

- Experience with Rust (or C/C++/Go) - a strong plus
- Experience developing or contributing to ML platforms or ML infrastructure - a strong plus
- Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus
- Experience with model serving / inference infrastructure, including LLMs
- Experience with Infrastructure as Code (Terraform or similar)

## 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
- 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate

Diversity, Equity, and Inclusion at Constructor At [Constructor.io](http://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.

## About Constructor

## Core Business
- **Primary industry**: AI-powered ecommerce search and product discovery (SaaS)
- **Target customers**: B2B, enterprise ecommerce brands, retailers, distributors, and marketplaces
- **Mission/purpose**: To automate the rich complexity required for a modern search experience behind a simple, elegant SaaS solution, helping shoppers find what they want to buy using natural language and AI.

## Products & Services
- **AI Shopping Agent**: Natural language conversational agent that helps shoppers discover products and answer questions.
- **Search & Browse**: Personalized search and category browsing with reinforcement learning.
- **Recommendations**: Product recommendations for onsite, email, SMS, and mobile notifications.
- **Retail Media**: Sponsored products and ads that don’t sacrifice customer experience.
- **Merchandiser Controls**: Tools for merchants to manage rankings, promotions, and experiments.
- **Insights & Automations**: Dashboards, reports, and automated attribute enrichment using GenAI.
- **Answer Engine Assistants (Beta)**: Integration with ChatGPT and other answer engines for offsite discovery.
- **Merchant Intelligence Agent (Beta)**: Research and fix ranking issues.
- **Product Insights Agent**: Generate personalized product questions to help shoppers buy with confidence.
- **Collections**: Dynamic, curated product pages.
- **In-Store**: Extend online intelligence to physical stores.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: $40.0M annual revenue (LinkedIn estimate); $86.1M total funding across 4 rounds
- **Notable Investors/Partners**: Not named in provided sources, but clients include Sephora, Under Armour, Petco, and many others.
- **Growth Signals**:
  - 336 employees (LinkedIn) / 375+ team members (company site), +48% YoY headcount growth
  - 400+ billion requests powered per year
  - 98.5% average client retention rate over the last three years
  - Named a Leader in Forrester Wave (Commerce Search & Product Discovery, Q3 2025), Gartner Magic Quadrant (Search & Product Discovery, 2025), and IDC MarketScape
  - Top rated on G2 Crowd and Gartner Peer Reviews (4.9 and 4.8 respectively)
  - 94% team member retention rate

## Competitive Advantages
- **AI-native from day one**: Built on clickstream data and advanced AI, not bolted onto legacy keyword search.
- **Reinforcement learning across touchpoints**: Every interaction (search, browse, agent) makes the system smarter.
- **API-first, headless, composable, platform-agnostic**: Easy integration with any tech stack.
- **Ecommerce-specific optimization**: Sole focus on commerce metrics (revenue, conversion, profit), consistently delivering $10M+ revenue lifts for customers.
- **Only vendor named a Leader by three independent analyst firms (Forrester, Gartner, IDC)**.

## Strategic Focus
- **AI agents and reasoning**: Expanding AI Shopping Agents, Answer Engine Assistants, and Merchant Intelligence Agents.
- **Offsite discovery**: Enabling discovery via email, SMS, and answer engines like ChatGPT.
- **In-store integration**: Extending online intelligence to physical retail.
- **Continued investment in personalization and automation** to reduce setup time (8 weeks or less).

## Why Work Here
- **Culture**: Remote-first, 100% remote – choose where you live. Collaborative, empathetic, and problem-solving environment. Rated top 5% on RepVue and a Will Reed Top 100 award recipient.
- **Benefits**:
  - Company pays 99% of medical, dental, and vision premiums for US team members.
  - Unlimited PTO and vacation time (minimum 3 mandatory weeks off per year).
  - Paid parental leave.
  - Yearly Remote Work Stipend + one-time $500 New Hire Setup Stipend.
  - Yearly Learning & Development $500 Stipend.
  - Stock options for every team member.
  - Company-issued Apple laptop.
- **Growth**: Fast-growing startup with opportunities to work on challenging AI/ML problems used by millions of shoppers. Mentorship, autonomy, and career development.
- **Diversity & Inclusion**: Committed to DEI with an internal ERG.
- **Team**: 94% retention rate; described as collaborative, brilliant people who enjoy solving hard problems.

## Sources
1. [Constructor Careers Page](https://constructor.com/about/careers)
2. [Constructor Main Website](https://constructor.com/)
3. [Constructor LinkedIn](https://www.linkedin.com/company/constructor-io)
4. [Constructor About Page](https://constructor.com/about)
5. [CB Insights Company Profile](https://www.cbinsights.com/company/constructorio) (used for funding and revenue data, though not directly cited in text – revenue from LinkedIn)

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