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Salary
$74k – $84k per year
Location
Remote (Poland)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Upvanta is an IT outsourcing and software development agency that provides custom engineering services, staff augmentation, and turn-key digital transformation solutions. Founded in 2018, the firm delivers full-stack development, cloud infrastructure management, DevOps, AI integration, and Internet of Things (IoT) solutions. Additionally, it offers proactive managed IT services, application maintenance, and rapid R&D prototyping to help businesses modernize their digital workflows and accelerate product delivery.

Poszukujemy doświadczonego Senior GenAI Engineera, który będzie odpowiedzialny za projektowanie i wdrażanie nowoczesnych rozwiązań opartych o LLMs, Agentic AI

oraz architektury AI enterprise-grade.

Zakres obowiązków

  • Projektowanie i rozwój rozwiązań opartych o: Generative AI / Large Language Models (LLMs) / Agentic AI

NLP / intelligent automation oraz AI copilots

  • Tworzenie i wdrażanie architektur AI end-to-end

  • Budowa rozwiązań z wykorzystaniem: LangChain / LangGraph / AutoGen / Semantic Kernel

oraz innych frameworków agentowych

  • Implementacja i optymalizacja pipeline'ów AI/ML

  • Rozwój praktyk MLOps: CI/CD / monitoring modeli / deployment / observability

  • Integracja modeli AI z rozwiązaniami biznesowymi i platformami cloud

  • Współpraca z zespołami developerskimi, DevOps oraz biznesowymi

  • Rozwijanie nowych podejść i innowacyjnych rozwiązań AI dla klientów enterprise

Wymagania

  • Min. 3 lata doświadczenia w obszarze: Data Science / Machine Learning / Artificial Intelligence

  • Doświadczenie komercyjne w obszarze: Generative AI / LLMs / Agentic AI

  • Bardzo dobra znajomość Python

  • Znajomość frameworków: TensorFlow / PyTorch / Pandas / Scikit-Learn

  • Doświadczenie z przynajmniej jednym frameworkiem: LangChain / LangGraph

AutoGen / Semantic Kernel lub podobnym

  • Znajomość NLP: tokenization / embeddings / semantic search / RAG architectures

  • Doświadczenie z Azure, AWS lub GCP

  • Znajomość SDLC

  • Bardzo dobra znajomość języka angielskiego

Nice to have

  • Doświadczenie w sektorze automotive i/lub financial services

  • Znajomość: Docker / Kubernetes / Git / Azure DevOps

  • Doświadczenie w MLOps i monitoringu modeli AI

  • Znajomość Trusted / Responsible AI

  • Język niemiecki lub francuski

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