远程工作雷达

人工智能工程师 - 汽车行业

AI Engineer - Automotive

AI开发工程未标注地域
公司qualysoft
薪资未公开
工作地点Bucharest
地域资格未标注地域
时区要求无特别要求
用工类型Full-time
发布时间未知
数据来源Lever
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关于 Qualysoft

·        25年软件工程经验,成立于奥地利维也纳

·        自2007年起活跃于罗马尼亚,位于布加勒斯特市中心(Iancu de Hunedoara 街54B号)

·        提供端到端IT咨询服务 - 从团队扩充和专属团队到定制软件开发

·        我们提供可扩展的企业系统、智能自动化框架和数字化转型平台

·        跨行业经验,为BSFI(银行、金融、保险)、电信、零售与电商、能源与公用事业、汽车、制造、物流、高科技等领域的全球客户提供支持

·        全球布局:瑞士、德国、奥地利、瑞典、匈牙利、斯洛伐克、塞尔维亚、罗马尼亚和印度尼西亚

·        国际化团队,拥有500+名软件工程师

·        战略合作伙伴关系:微软云认证合作伙伴、Tricentis测试自动化和测试管理解决方案合作伙伴、Creatio独家合作伙伴、Doxee实施合作伙伴

·        采用前沿技术:AI、数据与分析、云、DevOps、IoT和测试自动化

·        项目客户涵盖从大型企业到初创公司的各类组织

·        年度稳定增长和收入提升,在波动的IT市场环境中具备韧性

·        以质量为核心的理念,创新文化,以及长期的客户合作关系

·        全球与本地覆盖 - 被欧洲和美国的关键行业客户所信赖

我们提供的福利

·        优质医疗保障

·        午餐券及Pluxee卡

·        Bookster订阅服务

·        第13个月工资及年度奖金

·        企业级工作保障,兼具创业公司理念(多元且富有挑战的环境,国际视野,扁平化管理)在安全的跨国公司中

·        支持型文化(我们重视责任感、自主权和健康的工作生活平衡),有优秀的同事、团队活动和互动

·        灵活的工作制度,开放远程办公

·        合作精神 - 员工可以自行决定自己的福利、工具、团队活动和内部流程

·        软件开发领域多样化的机遇,具有国际视野

·        可根据职业路径和技术目标选择项目

·        接入领先的学习平台、课程和认证(Pluralsight、Udemy、微软、谷歌云)

查看英文原文

About Qualysoft

·        25 years of experience in software engineering, established in Vienna, Austria

·        Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B)

·        Delivering End to End IT Consulting Services  - From Team Augmentation and Dedicated Teams to Custom Software Development

·        We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms

·        Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech

·        Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia

·        International team of 500+ software engineers

·        Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner

·        Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation.

·        Project beneficiaries ranging from large-scale enterprises to startups

·        Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions

·        Quality-first mindset, culture of innovation, and long-term client partnerships

·        Global and local reach – trusted by key industry players in Europe and the US

What We Offer

·        Premium medical package

·        Lunch Tickets & Pluxee Card

·        Bookster subscription

·        13th salary/yearly bonuses

·        Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational

·        A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities

·        Flexible working program and openness to remote work

·        Collaborative mindset – employees shape their own benefits, tools, team events and internal practices

·        Diverse opportunities in Software Development with international exposure

·        Flexibility to choose projects aligned with your career path and technical goals

·        Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud)

·        Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary

*We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*

Responsibilities:
• Drive the architecture, development and optimization of (generative) AI applications with a strong focus on
model evaluation, retrieval-augmented generation (RAG), and prompt engineering.
• Implement end-to-end RAG pipelines (ingestion, chunking, embeddings, retrieval, re-ranking) and integrate them
with internal data sources.
• Design and integrate data storage for AI applications using vector search in Snowflake and relational databases
such as PostgreSQL.
• Analyze and integrate data from various sources, ensuring high data quality and preparing it for effective AIdriven solutions.
• Experiment with LLM models (e.g. OpenAI, Anthropic, Azure OpenAI) to improve performance, reliability and
applicability across business use cases.
• Establish and maintain robust engineering practices for GenAI applications (testing, observability, security,
performance optimization).
• Collaborate closely with our AI platform team to enhance, standardize and scale AI-driven capabilities across the
BMW Group.
• Work closely with different business units, helping them leverage AI models for real-world applications and
continuous improvements.
• Share your expertise in Generative AI, LLM orchestration, and software engineering with other teams,
contributing to knowledge-sharing and innovation within the organization.

Qualifications:
• University degree in Computer Science, Engineering, or a related field.
• At least 7 years of professional software engineering experience, with a strong focus on backend or dataintensive applications.
• Strong proficiency in Python and experience building production systems.
• Strong understanding of software development best practices (clean code, unit/integration testing, code
reviews, CI/CD).
• Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI) and LLM orchestration frameworks
such as LangGraph.
• Proven experience with RAG architectures and vector databases / embeddings.
• Experience with data ingestion and preprocessing for LLM applications (ETL, data pipelines, document
processing).
• Experience implementing guardrails, safety checks and evaluation frameworks for LLM applications.
• Familiarity with MLOps or LLMOps concepts and best practices for deploying, monitoring and maintaining AI
models and AI-enabled services in production.
• Strong problem-solving skills and the ability to work in a collaborative, agile environment.
• Excellent English communication skills, both written and spoken.

本页面信息整理自 Lever,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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