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Хорошо структурированная роль в быстрорастущем AI-стартапе, сочетающая инженерные задачи с работой напрямую с клиентами.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (AI/LegalTech): Building and deploying reliable AI workflows for law firms through Aurora, with an accent on client process discovery, document retrieval, LLM orchestration, integrations, and production validation. Focus on designing workflows for confidential legal data, writing Python and API integrations, testing against legal acceptance criteria, and supporting multi-client deployments.
Location: Hybrid from Oslo, Norway; Wrocław, Poland; or Chicago, United States, with 3 days per week in the office and approximately 25% client travel. Candidates must be authorized to work in the applicable country without employer sponsorship.
Company
hirify.global is a growth-stage legal AI company building Aurora, a configurable platform for creating, governing, and deploying AI workflows connected to law firms’ knowledge and existing systems.
What you will do
Work with clients and senior legal engineers to map legal processes, including inputs, decisions, exceptions, and approvals.
Build workflows in Aurora for document intake, clause extraction, contract review, drafting, and multi-step agents.
Write Python scripts, custom components, data transformations, and API calls where low-code configuration is insufficient.
Test workflows against real examples and agreed evaluations, fix failures, and demonstrate compliance with legal acceptance criteria.
Run workshops and pilots, support AI Academy sessions, manage post-launch ownership, and feed reusable patterns and product issues back to Product and Engineering.
Requirements
At least 3 years of experience in a technical, client-facing role such as solutions engineering, implementation consulting, technical consulting, automation, or development.
Hands-on experience configuring or building with workflow automation, integrations, a low-code platform, or software development tools.
Ability to read and write simple Python scripts, work with JSON and REST APIs, and debug technical solutions.
Daily use of LLMs and a practical understanding of prompting, model reliability, and model limitations.
Ability to structure vague processes into clear steps, inputs, decisions, and failure points.
Ability to learn professional-services domains quickly, explain technical topics clearly to law-firm partners and engineers, and communicate AI limitations honestly.
Ability to work in a small, changing startup environment, seek early review, and follow engineering standards for design reviews, testing, traceability, monitoring, and human review.
Fluent English required.
Work authorization in the applicable country without employer visa sponsorship required.
Nice to have
Experience with n8n, Make, Zapier, Power Automate, or similar workflow tools.
Experience building LLM applications, retrieval-augmented generation, or agents.
Background in law, consulting, audit, finance, engineering, or another professional-services field.
Experience with iManage, SharePoint, or other document management systems.
Experience with law-firm constraints such as matter permissions and ethical walls.
Experience with Microsoft Azure.
Culture & Benefits
Growth-stage startup environment with evolving processes, changing priorities, and emphasis on ownership, resourcefulness, and creating structure.
Regular coaching from the Head of Forward Deployed Engineering, technical standards, delivery playbooks, and collaborative client-pod work.
Competitive salary, equity, and bonus across all locations.
Country-specific benefits, including statutory benefits, pension, paid leave, and parental leave in Norway and Poland; medical, dental, vision, 401(k), and paid time off in the United States.
Approximately 25% client travel for discovery workshops, pilots, and go-live support.
Hiring process
15-minute screening call.
One-hour case assessment to design and build a flow for a realistic client problem.
Three-hour presentation of the case to the team, including the Head of Forward Deployed Engineering.
15-minute CEO interview.
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