GCP Agentic AI Engineer
New
B
Be in IT to butikowa firma rekrutacyjna IT.AI and machine learning
Locations: Warszawa, Śródmieście, Warszawa, Country code: PL; Współpraca w pełni zdalna.ContractSenior
Salary140 - 180 PLN per hour
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Job Details
- Languages
- Znajomość języka angielskiego na poziomie B2 lub C1 umożliwiająca swobodną komunikację w międzynarodowym środowisku.
- Experience
- Minimum 7 lat praktycznego doświadczenia w pracy z silnikami rekomendacyjnymi, pipeline'ami danych (data pipelines) lub rozproszonym machine learningiem.
- Required Skills
- PythonMLOpsGenerative AILangChain
Requirements
- Hold a bachelor’s or engineering degree in computer science, mathematics, statistics, engineering, or a related field, or have equivalent practical experience.
- Bring practical knowledge and experience in machine learning and artificial intelligence.
- Have experience in technical consulting and customer service.
- Be proficient in programming and scripting languages such as Python, Perl, C, C++, or Java.
- Have strong expertise in Vertex AI, MLOps, Document AI, and Generative AI.
- Have hands-on experience building multi-step Agentic AI workflows using ADK, Agent Engine, LangChain, and AgentSpace.
- Have at least 7 years of practical experience with recommendation engines, data pipelines, or distributed machine learning.
- Understand production ML practices, including feature extraction and definition, data validation, monitoring, and model management.
- Know deep-learning frameworks including TensorFlow, PyTorch, and XGBoost.
- Understand data warehouse architectures, ETL/ELT processes, and analytics environments such as Apache Beam, Hadoop, Spark, and Hive.
- Have English proficiency at B2 or C1 level for communication in an international environment.
Responsibilities
- Act as a trusted technical advisor to clients.
- Resolve complex machine-learning challenges.
- Guide clients through practical implementation of systems.
- Design multi-step Agentic AI workflows.
- Deliver tailored solutions into production environments.
- Work with clients, partners, and Google product teams.
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