- AI
- Machine learning
- Python
- AWS
- Docker
- Angielski
- Spark
- Databricks
- GitHub
- 6+ years of experience in Data Science, AI Engineering, Machine Learning, or a related field.
- 4+ years of professional Python development experience.
- 2+ years of hands-on experience with LLMs / Generative AI, preferably with RAG-based solutions.
- Strong knowledge of Python, LLMs, RAG, and Generative AI.
- Practical experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.
- Experience with AI Agents / Agentic AI; MCP experience is a strong advantage.
- Knowledge of vector databases, hybrid search, reranking, and LLM evaluation.
- Experience with model fine-tuning, such as LoRA, QLoRA, or SFT.
- Experience with at least one major cloud platform: Azure, AWS, or GCP.
- Familiarity with Docker, Kubernetes, and CI/CD.
- Good understanding of AI/ML architectures and production deployment practices.
Nice to Have
- Experience with Spark / Databricks.
- Experience with GitHub Actions, GitLab CI, or Azure DevOps.
- Experience with multi-agent systems and agentic AI workflows.
- Experience building scalable, production-grade AI systems.
- Experience with multimodal AI models.
- Design and develop production-grade solutions using LLMs and Generative AI.
- Build and optimize RAG systems, including vector search, hybrid search, reranking, and query optimization.
- Develop AI Agents and agentic AI solutions.
- Work with frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologies.
- Work with MCP to integrate AI agents with external tools and systems.
- Select appropriate models and develop prompt engineering and fine-tuning strategies, including LoRA/QLoRA/SFT.
Opis oferty
We are looking for an experienced professional to join projects focused on Generative AI, LLMs, RAG, and AI Agents . The rol
We're a bunch of super-dedicated and passionate people who truly believe in making a difference and delivering amazing results on a huge scale.
We're the real deal when it comes to expertise: