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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Работа у клиентовСовременный стекОтветственность за результатПрикладной ИИБюджет на развитие
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Forward-Deployed Engineer — Applied AI (AI/logistics): Building production AI agents, integrations, data transformations, approvals, and user-facing workflows for real-world supply-chain operations with an accent on customer discovery, rapid prototyping, and production delivery. Focus on connecting email, documents, and legacy systems, deciding where AI or deterministic software is appropriate, and keeping humans in control of operational automation.
Location: Munich, Germany; hybrid workplace with onsite customer work and regular in-person coworking in Berlin and Munich.
Company
hirify.global is an AI-native B2B logistics startup building agentic platforms that automate operational work across European supply chains.
What you will do
Discover operational workflows directly with logistics, operations, and customer teams.
Turn customer workshops and ambiguous problems into working prototypes quickly.
Build integrations, AI agents, data transformations, approval flows, and user-facing workflows.
Connect email, documents, and customer systems through APIs, browser automation, or other robust approaches.
Take prototypes through production hardening, rollout, measurement, and real-user adoption.
Decide what should use AI, what should remain deterministic, and where human control is required; turn reusable learnings into core product capabilities.
Requirements
5+ years of professional software development experience or equivalent depth, with the ability to take ambiguous problems through production and real users.
Experience building integrations with external systems and working with messy APIs, data, and requirements.
Ability to understand operational workflows, uncover the actual problem, and challenge customer requirements constructively.
Comfort working across backend and product/full-stack engineering.
Hands-on experience building with LLMs or agents and heavy use of coding agents.
Ability to prototype quickly while maintaining production reliability, edge-case handling, and delivery discipline.
Ability to explain technical decisions to non-technical people and own outcomes end to end.
Fluent German and English.
Willingness to work onsite with customers when needed to understand the problem.
Experience with Ruby on Rails, React, TypeScript, and PostgreSQL is useful, but exact stack experience is not required.
Nice to have
Background as a founding engineer at an early-stage B2B or AI startup.
Experience as a senior product engineer working directly with enterprise customers.
Experience as a forward-deployed engineer at an AI company.
Experience as a highly technical solutions engineer who continues to build software.
Consulting background combined with serious software engineering experience.
Culture & Benefits
Small, focused pods with ownership of real outcomes across product, customer solutions, growth, and brand.
AI-native working environment where AI amplifies impact while judgment, creativity, and ownership remain human-led.
Continuous feedback, 360-degree reviews, a dedicated development budget, and close work with an experienced management team.
Inclusive, diverse, supportive culture with virtual team events, offsites, and regular in-person coworking in Berlin and Munich.
VSOP program providing a share in company growth.
Hiring process
Work through an imperfect operational workflow involving emails, documents, rules, exceptions, and a target system.
AI tools are allowed and expected; the evaluation focuses on discovery questions, automation choices, solution structure, and production planning.
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