Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль предполагает понятную ответственность за production-решения на базе GenAI в развивающейся сфере, сильный технический круг задач и хорошие льготы; без данных о зарплате оценить компенсацию сложнее.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior GenAI Engineer (m/w/d) (GenAI/RAG): Building production-ready GenAI applications and RAG pipelines for business automation with an accent on Python, LLM applications, vector search, and cloud-native engineering. Focus on designing reliable AI workflows, integrating external data and APIs, evaluating emerging techniques, and moving prototypes into scalable production solutions.
Location: Berlin, Germany; hybrid work
Company
hirify.global is a healthcare company with more than 1,750 people worldwide, focused on broadening access to medicine and improving the healthcare industry.
What you will do
Design, prototype, and deliver production-ready GenAI solutions for business use cases, from classical NLP to LLM-based applications.
Build and optimize RAG pipelines covering document ingestion, embeddings, vector search, and retrieval quality.
Develop prompt-engineering strategies and manage prompt lifecycles for production use.
Design GenAI workflow automations and integrations using Azure AI Foundry, LangGraph, or similar tools.
Integrate external data sources and APIs, validate use cases with clear success criteria, and iterate before production.
Collaborate with delivery leads, engineers, data scientists, and business stakeholders while owning solution design and delivery for defined components.
Requirements
Hands-on experience in software engineering or machine learning/deep learning, including meaningful experience in GenAI or NLP.
Strong Python skills and the ability to write production-quality code and review code constructively.
Experience shipping production-grade GenAI applications, including RAG pipelines, agent orchestration, fine-tuning, prompt engineering, and vector databases.
Production experience with at least one major cloud platform, such as Azure, AWS, or GCP.
Experience with containerization, CI/CD pipelines, and cloud-native tooling.
Comfortable working in English in a professional written and verbal setting.
Experience with production GenAI challenges including messy data, stakeholder alignment, and continuous evaluation.
Nice to have
Familiarity with LLM frameworks such as LangChain or LangGraph and workflow automation tools such as n8n or Azure AI Foundry.
Experience working in cross-functional teams with non-technical stakeholders.
Interest in evaluating emerging AI techniques, tools, and research.
Culture & Benefits
Hybrid work in a modern office at EUREF Campus with flexible working hours.
30 days of annual leave plus an additional day off on New Year's Eve.
Annual performance bonus based on company results.
Free Germany Ticket, subsidized campus meals, daily lunch allowance, Wellhub contribution, and OpenUp mental health access.
Complimentary private supplementary health insurance, free coffee, and fresh fruit.
International, collaborative environment with global team events.
Hiring process
Submit a CV via the application link.
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