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  • GenAI Engineer
    New
    AI/ML

    GenAI Engineer

    Łódź
    6 773 - 7 620 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      AI

      advanced

      GenAI

      advanced

      TensorFlow

      advanced

      PyTorch

      advanced

      Ajax

      advanced

      LLM

      advanced

      Amazon AWS

      advanced

    Job description

    Online interview

    Responsibilities:


    • Design, develop, and optimize Generative AI models, including LLMs, diffusion models, and multimodal AI solutions
    • Lead the end-to-end development of AI-powered applications, from research and prototyping to production deployment
    • Implement and fine-tune transformer-based architectures (GPT, BERT, T5, LLaMA, etc.) for various business use cases
    • Develop retrieval-augmented generation (RAG) pipelines to enhance model accuracy and reliability
    • Build and maintain MLOps pipelines for continuous training, monitoring, and deployment of AI models
    • Collaborate with data scientists, ML engineers, and software developers to integrate AI into products
    • Optimize vector databases, embeddings, and search algorithms for scalable AI applications
    • Ensure AI fairness, bias mitigation, security, and ethical AI compliance
    • Architect Level: Define AI strategy, lead research initiatives, and drive the adoption of cutting-edge AI technologies


    Requirements:


    • Senior: 5+ years of experience in AI/ML development with expertise in Generative AI
    • Architect: 8+ years of experience with AI/ML, including AI system design and large-scale model deployment
    • Strong proficiency in Python and experience with TensorFlow, PyTorch, JAX, and Hugging Face Transformers
    • Deep understanding of NLP, computer vision, reinforcement learning, and multimodal AI
    • Hands-on experience with LLM fine-tuning, prompt engineering, and model inference optimization
    • Familiarity with cloud-based AI solutions (AWS Bedrock, Azure OpenAI, Google Vertex AI)
    • Experience with distributed computing, Kubernetes, and containerized AI deployments
    • Knowledge of big data processing frameworks (Spark, Kafka, Ray) for AI scalability
    • Strong problem-solving and analytical skills with the ability to tackle complex AI challenges
    • For Architect Level: Proven track record of AI solution architecture, strategic planning, and technical leadership


    Offer:


    • 100% remote
    • MultiSport Plus
    • Group insurance
    • Medicover Premium
    • e-learning platform


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    6 773 - 7 620 USD

    Net/month - B2B

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