Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стартовая роль сочетает практическую работу с enterprise AI, влияние на клиентские проекты и наставничество, но двухлетний период в Мадриде и поездки по DACH требуют готовности к таким условиям.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Associate Applied AI Value Engineer (DACH) - Orbit Program (AI): Building and prototyping AI solutions on the Celonis Process Intelligence platform to solve customer business problems and realize measurable value, with an accent on generative AI, process intelligence, and customer-facing solution design. Focus on developing proof-of-value projects, orchestrating AI agents, presenting business impact to executives, and supporting successful adoption at scale.
Location: Madrid, Spain for a 2-year onboarding period, with possible relocation to Munich, Germany; customer travel across the DACH area is required. The role follows a flexible hybrid work model.
Company
hirify.global provides an enterprise Process Intelligence platform powered by a Context Model that combines process data, business knowledge, and intelligence to help organizations build and operate AI-driven processes.
What you will do
Discover customer AI strategies and business-critical challenges, then design hirify.global-based solutions with AI and ML technology partners.
Rapidly prototype solutions in customer hackathons using generative AI and support the shift from rule-based automation to autonomous AI agents.
Execute end-to-end Proof-of-Value projects and remain involved until agreed value and adoption thresholds are reached.
Present and quantify strategic business value for senior executives and support customer adoption and value realization.
Develop expertise in selected domains or industries, including potential supply chain specialization.
Create reusable best practices, collateral, and tools for the Global Value Engineering Center of Excellence.
Requirements
Degree in Engineering, Data Analytics or Science, Computer Science, Mathematics, or a related STEM field, with excellent academic performance.
Extensive internship experience or 1–2 years of full-time experience, ideally combining business and technology.
Understanding of generative AI techniques including RAG, few-shot learning, prompt or context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
Good knowledge of Python, common ML libraries such as LangChain, pandas, pydantic, sklearn, and PyTorch, plus data engineering tools and technologies.
Strong analytical, creative, organizational, communication, and problem-solving skills, including the ability to prioritize and meet deadlines.
Customer-centric mindset, confidence presenting to diverse audiences, proactive learning attitude, curiosity, self-motivation, and willingness to work in a fast-paced, high-growth environment.
Business fluency in German and English is required.
Foundational business acumen and domain understanding, such as supply chain.
Nice to have
Combined technical and business degree, customer-facing or sales experience, or hands-on technical Proof-of-Concept experience.
Experience building agentic systems with LLM orchestration, RAG, function calling, or prompt engineering.
Knowledge of LangChain, LlamaIndex, or other open-source LLM ecosystem packages.
Supply chain experience in procurement, order management, inventory management, or production.
Experience modeling ROI and TCO, or working with ERP systems such as SAP or Oracle.
Culture & Benefits
12-month Orbit Graduate Program with comprehensive onboarding, enablement, targeted training, mentorship, coaching, and hands-on customer engagements.
International and diverse Global Value Engineering Center of Excellence with a collaborative culture focused on trust, continuous development, and shared success.
Full-time employees receive RSUs and merit-based refresh grants.
Flexible hybrid work model, unlimited PTO where applicable, generous global PTO, and paid parental leave.
Learning programs, a dedicated learning platform, Wellhub membership subsidies, mental health counseling, and Wellness Weeks.
Paid Impact Days, inclusion programs, and opportunities to contribute to community and environmental causes.
Hiring process
Application information may be processed with an AI matching tool that supports resume-to-role matching and preliminary recommendations; final decisions are made by hiring managers and the talent acquisition team.
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