Backend Engineer - Search (all genders)

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Retail • Software
The Role
Develop and operate ABOUT YOU’s backend search engine using Node.js and TypeScript. Build query understanding, entity resolution, semantic vector search, indexing pipelines, relevance scoring, LLM and embedding integrations, caching, and fallback layers. Combine OpenSearch, behavioral, and machine-learning signals while validating quality through golden lists, regression testing, and A/B experiments. Collaborate with technical leadership, data analysts, engineers, and product managers to shape scalable, low-latency search architecture.
Summary Generated by Built In
Company Description

ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

    Job Description

    • Develop the search engine behind ABOUT YOU, covering query understanding, entity resolution, and semantic vector search in Node.js/TypeScript
    • Blend OpenSearch relevance, embedding similarity, and behavioral re-ranking signals into unified search results
    • Build search-index pipelines (entities, synonyms, k-NN product vectors) streaming data from BigQuery into OpenSearch
    • Integrate LLMs and embedding models (Gemini, Vertex AI) under tight latency budgets with caching and fallback layers
    • Guard search relevance using golden lists, regression suites, and continuous A/B experiments
    • Shape architecture alongside our Tech Lead and collaborate closely with data analysts, engineers, and product managers

    Qualifications

    • You love investigating the "why" behind search outcomes and turning those findings into actionable technical improvements
    • 3+ years of experience building scalable, low-latency backend APIs (Node.js/TypeScript preferred, or fast-converting from Java, Go, or Kotlin)
    • Real depth in Elasticsearch/OpenSearch (mappings, custom analyzers, percolators, scoring functions) beyond just basic query clients
    • Strong algorithmic intuition for ranked data (merging, deduplication, score blending, and latency trade-offs)
    • You're excited to bridge backend engineering and ML by serving model scores, embeddings, or LLM features in production
    • Fluent English communication skills and a pragmatic, data-curious mindset

    Nice to Have

    • IR/NLP fundamentals (tokenization, multilingual search, relevance evaluation frameworks)
    • Vector search experience (k-NN/HNSW indices, SigLIP embeddings, recall vs. latency tuning)
    • LLM engineering (prompt caching, timeout budgets, Datadog LLM Observability)
    • Familiarity with BigQuery, dbt, or Dagster pipelines

    Additional Information

    Your perks at a glance: Visit our benefits page.

    Simply apply online via our career page - we will get back to you as soon as possible!

    A Place Where You Can Be You
    We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
    Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
    What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.

    Skills Required

    • At least 3 years of experience building scalable, low-latency backend APIs
    • Node.js and TypeScript experience, or strong experience with Java, Go, or Kotlin with ability to transition
    • Deep experience with Elasticsearch or OpenSearch, including mappings, custom analyzers, percolators, and scoring functions
    • Strong algorithmic understanding of ranked data, including merging, deduplication, score blending, and latency trade-offs
    • Experience serving model scores, embeddings, or LLM features in production
    • Fluent English communication skills
    • Pragmatic and data-curious mindset
    • Information retrieval or natural language processing fundamentals
    • Vector search experience with k-NN or HNSW indices, embeddings, and recall-versus-latency tuning
    • LLM engineering experience, including prompt caching, timeout budgets, or Datadog LLM Observability
    • Familiarity with BigQuery, dbt, or Dagster pipelines
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    The Company
    HQ: Hamburg
    196 Employees
    Year Founded: 2018

    What We Do

    SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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