AI/ML Engineer
16.8k - 21k PLN16 800 - 21 000 PLN/ mies.B2B
MidFull-time·B2B
#387146·Dodano dziś·1
Źródło: SOLID.JobsTech Stack / Keywords
AILLMPythonLangChainGCP
Firma i stanowisko
Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.
Wymagania
- 2+ years of professional experience in AI Engineer, Machine Learning Engineer, or related software engineering roles.
- Mastery of Python and its core AI/ML libraries.
- Strong experience with SQL and hands-on experience with vector databases (e.g., Agent Platform Vector Search) for RAG implementations.
- Ability to build, fine-tune, and deploy production-grade Generative AI systems and multi-step agentic workflows.
- Proven experience with modern agent frameworks, specifically Google's Agent Development Kit (ADK) or similar toolkits like LangChain or LlamaIndex.
- Strong proficiency in the GCP ecosystem, with experience deploying and managing AI solutions using Agent Platform.
- Experience designing and implementing evaluation frameworks for measuring accuracy, latency, and cost of Generative AI workflows.
- Able to execute work from design through implementation with guidance.
- Strong communication and collaboration skills in English (C1).
Nice to have:
- Knowledge of Python.
- Experience with LangChain.
- Experience with GCP.
Obowiązki
- Work with business stakeholders to identify and understand business problems and architect AI-powered systems to address them.
- Design, build, and maintain sophisticated AI systems, including autonomous agents, generative workflows, and fine-tuned Large Language Models (LLMs).
- Partner with software engineering, product, and infrastructure teams to integrate AI capabilities into new and existing applications.
- Research, evaluate, and implement state-of-the-art AI technologies, models, and platforms to ensure systems remain cutting edge.
- Own and operate the end-to-end MLOps lifecycle on Google Cloud Platform, including building data pipelines, automating model deployment (CI/CD), monitoring system performance, and ensuring scalability.
- Act as a subject matter expert, staying current with the latest advancements in Generative AI, Agentic systems, and the broader AI landscape.
Benefity
- 16.8k–21k PLN netto/m (B2B)
- B2B - Flexible working hours (100%)
- Fully remote work
Elastyczne godziny
apreel
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