Senior Data Scientist - Generative AI

Quick Facts

• Role: Senior Data Scientist (Generative AI)

• Focus: LLMs, RAG, and AI agents for production-grade solutions

Description

You will design and build production-ready Generative AI solutions across LLMs, RAG, and agentic AI. You’ll build RAG systems (vector/hybrid search, reranking, query optimization), develop AI agents (including integrations with external tools), and implement evaluation, validation, guardrails, and quality control. You will also contribute to technical architecture and integrate components via APIs with existing systems.

Responsibilities

• Design and develop production-grade solutions using LLMs and Generative AI

• Build and optimize RAG systems (vector search, hybrid search, reranking, query optimization)

• Develop AI agents and agentic AI solutions

• Use frameworks such as LangChain, LlamaIndex, LangGraph (or similar)

• Work with MCP to integrate AI agents with external tools and systems

• Select appropriate models; implement prompt engineering and fine-tuning strategies (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

Requirements

• 6+ years of experience in Data Science, AI Engineering, Machine Learning, or a related field

• 4+ years of professional Python development experience

• 2+ years 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

Benefits

• Opportunity to deliver production-ready Generative AI, LLM, RAG, and agentic AI solutions end-to-end