Design, develop, and deploy generative AI solutions. Focus on creating innovative AI-powered systems. Expertise in Machine Learning, Deep Learning, and designing generative AI models.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Company Description
BrillQ is an independent AI consulting and innovation company that provides comprehensive artificial intelligence solutions, proprietary products, and advanced training programs across various industries. Combining strategic advisory, technical engineering, and research-based development, BrillQ empowers clients to build reliable, scalable, and impactful AI systems. With a focus on secure, compliant, and responsible AI adoption, BrillQ offers expertise across the entire AI lifecycle, including machine learning, generative AI, cloud-native architectures, and MLOps. The company's mission is to advance the boundaries of AI and create meaningful real-world impacts, while also developing proprietary AI products and resources to enable seamless AI adoption for organizations worldwide.
Role Description
This is a full-time remote role for a Generative AI Engineer. In this role, you will design, develop, and deploy generative AI solutions, focusing on creating innovative AI-powered systems. Daily tasks will include fine-tuning large language models (LLMs), implementing AI pipelines, optimizing model performance, and researching state-of-the-art techniques. You will collaborate with cross-functional teams to develop AI applications, ensure efficient deployment, and maintain responsible and ethical AI practices.
Qualifications
- Expertise in Machine Learning, Deep Learning, and designing generative AI models
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch
- Experience in LLMs, RAG (Retrieval-Augmented Generation) systems, and building AI agents
- Knowledge of cloud AI platforms (Azure, GCP, AWS) and scalable model deployment
- Background in MLOps, pipeline optimization, and DataOps
- Strong skills in AI architecture design, data preprocessing, and GPU/TPU infrastructure
- Ability to develop edge-cloud optimizations and hybrid intelligence systems
- Familiarity with TinyML, robotics integration, and multimodal AI systems is a plus
- Commitment to ethical AI, security, and responsible AI principles
- Excellent analytical, problem-solving, and communication skills
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience
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What We Offer
Competitive salary: 20,000 – 38,000 PLN net (B2B)
Flexible work model: fully remote
Conference and training budget (up to 15,000 PLN/year)
Access to modern GPU infrastructure (A100/H100 clusters)
Private healthcare and Multisport card
Regular team-building events and hackathons
2 extra days off for personal development
Latest hardware (MacBook Pro or Linux workstation of your choice)
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