Senior Data Scientist – GenAI

• 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.
• Excellent English communication skills.

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.
• Implement LLM evaluation, validation, guardrails, and quality control mechanisms.
• Develop APIs/backend components and integrate AI solutions with existing systems.
• Contribute to technical architecture and technology selection.
• Collaborate with engineers, developers, and product teams.
• Share knowledge and support less experienced team members.