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Крутая вакансия
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Зона ответственности ясна, цели на первые 90 дней конкретны, а работа связана с продакшеном AI и фундаментом данных; при этом формат стартапа и обязательное присутствие в офисе подойдут не всем.
Работа из офиса
Понятная зона ответственности
AI в основе продукта
Современный стек
?Риски стартапа
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Engineer, Data Model & Agent-first Building (AI): Designing the ontology, data pipelines, and codebase foundations for an agentic construction platform with an accent on versioned data models, provenance, entity resolution, and production LLM features. Focus on building verifiable evaluation and delivery systems, evolving schemas through migrations and backfills, and enabling coding agents to ship reliable changes at speed.
Location: On-site by default at Linnégatan 89B, Stockholm, Sweden
Company
hirify.global is an agentic construction platform backed by Northzone and Y Combinator. Agents read tender documents, extract requirements, compare them with contractor data, and draft bids, reviews, and change orders.
What you will do
Own the ontology for organisations, subsidiaries, projects, documents, versions, requirements, company facts, standards, bids, and answers.
Design parsing, extraction, entity-resolution, and backfill pipelines that convert unstructured documents into trusted, versioned data.
Define permissions, tenant isolation, schemas, migrations, and typed tools used by agents to read and write data.
Build evals, verification workflows, automated checks, and repository playbooks that enable reliable agent-assisted development.
Improve the data model and ship production changes during the first 30 days, model and integrate three additional concepts by day 60, and enable the product team to ship on the model by day 90.
Requirements
Experience designing and owning a product data model and evolving it through migrations and backfills.
Experience building pipelines that transform messy, unstructured documents into trusted structured data.
Strong TypeScript and/or Python skills, with relational and reactive databases.
Production experience building LLM features, including tool use, retrieval, structured output, and evals.
Daily experience shipping with coding agents and verifying their work without reading every line.
Clear written communication, including documenting decisions and interfaces.
Fluent English required.
Nice to have
Experience in document-heavy domains such as legal, construction, procurement, or compliance.
Ontology, knowledge-graph, or entity-resolution experience.
Experience with Convex or Cloudflare Workers.
Experience building eval harnesses, CI checks, or MCP servers used by other engineers.
Swedish.
Culture & Benefits
Senior-level role where demonstrated impact matters more than years of experience.
Agents write most of the code using tools such as Cursor, Claude Code, and Devin; the role emphasizes judgement, interfaces, and verifiable evidence.
Work in the Product & Engineering team, reporting to the CTO and co-founder and collaborating daily with the Engineering Team Lead.
Competitive salary and equity.
Hiring process
Introductory call lasting 20 minutes.
Live data-model case with the CTO and Engineering Team Lead using a real hirify.global problem.
Office visit and team meeting.
Будьте осторожны
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