Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Работа над GenAI для BMW Group с использованием передового стека — огромный плюс для портфолио, хотя консалтинговый формат компании — это небольшой компромисс по сравнению с продуктовым наймом.
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Консалтинговая модельЗарплата не указанаПередовой стекТрендовый доменВозможности обучения
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Automotive) (Generative AI/RAG): Building and optimizing production AI applications and end-to-end RAG pipelines for BMW Group with an accent on model evaluation, vector search, LLM orchestration, and data preparation. Focus on designing reliable AI services, implementing guardrails and evaluation frameworks, and scaling AI capabilities across business units.
Location: Cluj, Romania; hybrid workplace with openness to remote work
Company
hirify.global is a software engineering and IT consulting company established in Vienna, with operations in Romania and an international team of 500+ software engineers delivering enterprise systems, automation frameworks, digital transformation platforms, and custom software development.
What you will do
Drive the architecture, development, and optimization of generative AI applications for BMW Group.
Implement end-to-end RAG pipelines covering ingestion, chunking, embeddings, retrieval, and re-ranking, and integrate them with internal data sources.
Design AI data storage using vector search in Snowflake and relational databases such as PostgreSQL.
Analyze, integrate, and prepare data from multiple sources for AI-driven solutions.
Experiment with OpenAI, Anthropic, and Azure OpenAI models to improve performance, reliability, and applicability across business use cases.
Establish testing, observability, security, performance optimization, guardrails, and evaluation practices while collaborating with AI platform teams and business units.
Requirements
University degree in Computer Science, Engineering, or a related field.
At least 7 years of professional software engineering experience, focused on backend or data-intensive applications.
Strong Python proficiency and experience building production systems.
Strong understanding of clean code, unit and integration testing, code reviews, and CI/CD.
Hands-on experience with LLM APIs such as OpenAI, Anthropic, or Azure OpenAI and orchestration frameworks such as LangGraph.
Proven experience with RAG architectures, vector databases, and embeddings.
Experience with ETL, data pipelines, document processing, and data preprocessing for LLM applications.
Experience implementing guardrails, safety checks, and evaluation frameworks for LLM applications.
Familiarity with MLOps or LLMOps practices for deploying, monitoring, and maintaining AI models and AI-enabled services in production.
Strong problem-solving skills and the ability to work collaboratively in an agile environment.
Excellent written and spoken English communication skills.
Culture & Benefits
Hybrid work with a flexible working program and openness to remote work.
Premium medical package, lunch tickets, Pluxee Card, Bookster subscription, and 13th salary or yearly bonuses.
Enterprise job security with a startup mentality, international exposure, flat hierarchy, and a supportive culture.
Flexible project selection, career growth, mentorship, certifications, and professional development opportunities.
Access to Pluralsight, Udemy, Microsoft, and Google Cloud learning platforms.
Team events, healthy work-life balance, and employee input into benefits, tools, events, and internal practices.
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