apreel
apreel
New

AI/ML Engineer

16.8k - 21k PLN/ mies.B2B
MidFull-time·B2B
#387146·Dodano dziś·1
Źródło: SOLID.Jobs
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Tech 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
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