Senior Backend Engineer – Machine Learning Infrastructure

Job not on LinkedIn

🕒 August 6

🇪🇺 Europe – Remote

💵 $80k - $120k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Constructor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS • Artificial Intelligence • eCommerce

Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.

📋 Description

• Design, build, and operate high-load distributed backend services powering the company’s ML infrastructure • Own core ML services and related data pipelines end-to-end, from design and implementation through deployment, observability, and continuous improvement • Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities • Evaluate trade-offs, make and defend technical decisions, design first, and own outcomes • Take responsibility for the work delivered by you and your team

🎯 Requirements

• 5+ years of professional experience in backend or platform engineering • Extensive Python knowledge • Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes • Experience designing and building distributed, high-load services and APIs • Strong knowledge of data structures, algorithms, and their trade-offs • Design-driven engineering mindset and ability to use modern AI tools while leading with system design • Ownership and proactivity in solving problems and taking responsibility for outcomes • Friendly and willing to help teammates and others • Experience with Rust or C/C++/Go is a strong plus • Experience developing or contributing to ML platforms or ML infrastructure is a strong plus • Experience setting up and operating vector databases is a strong plus • Experience with model serving/inference infrastructure, including LLMs • Experience with Infrastructure as Code, such as Terraform or similar • Eligibility to work as an independent contractor in the current country of residence

🏖️ 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 • 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 • Stock options - offered in addition to the base salary • Regular team offsites to connect and collaborate

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