Are you passionate about building next-generation AI systems that leverage Large Language Models (LLMs) to automate complex tasks and enable intelligent decision-making? Join LevelShift as a Data Scientist and design end-to-end solutions across intelligent pipelines, agentic workflows, and AI-native system modernization. What Youll Do As a Data Scientist at LevelShift, you will: Design & Build AI Pipelines: Develop intelligent, end-to-end data pipelines using LLMs for document generation, summarization, reasoning, and automation. Agentic Systems: Architect and implement autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to achieve multi-step objectives. LLM Engineering: Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and advanced decision-making. System Modernization: Analyze rule-based engines, stored procedures, and monolithic applications, and re-engineer them into modular, AI-native components that handle structured and unstructured data. Model Optimization: Fine-tune foundation models or adapt them with LoRA, transfer learning, or domain-specific techniques for performance improvements. Cloud & Deployment: Orchestrate scalable AI services and workflows in cloud environments. Your Skillset Were looking for an experienced AI/ML professional with strong expertise in LLM-powered systems. Technical Skills: 5+ years in AI/ML solution design and development, with hands-on LLM integration. Python Advanced proficiency for AI/ML development and orchestration. LLM Development Prompt engineering, chaining logic, context window management, API integration. Agent Frameworks Memory, planning, coordination, and decision-making in multi-agent systems. RAG Vector databases, embeddings, and retrieval-augmented knowledge systems. Cloud Deployment and management of AI services, preferably on Microsoft Azure. Good to Have Experience with PCF or React for building intelligent front-end components. Contributions to open-source AI frameworks or research. Certifications Preferred Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent. Why LevelShift? Work on cutting-edge LLM-based AI projects with global impact. Collaborate with experts in AI, ML, and cloud technologies. Grow your career in an innovation-driven, learning-focused environment. If youre ready to design and deliver intelligent AI/ML solutions, apply now at [email protected] and take the next step in your Data Science career!
Are you passionate about building next-generation AI systems that leverage Large Language Models (LLMs) to automate complex tasks and enable intelligent decision-making? Join LevelShift as a Data Scientist and design end-to-end solutions across intelligent pipelines, agentic workflows, and AI-native system modernization. What Youll Do As a Data Scientist at LevelShift, you will: Design & Build AI Pipelines: Develop intelligent, end-to-end data pipelines using LLMs for document generation, summarization, reasoning, and automation. Agentic Systems: Architect and implement autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to achieve multi-step objectives. LLM Engineering: Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and advanced decision-making. System Modernization: Analyze rule-based engines, stored procedures, and monolithic applications, and re-engineer them into modular, AI-native components that handle structured and unstructured data. Model Optimization: Fine-tune foundation models or adapt them with LoRA, transfer learning, or domain-specific techniques for performance improvements. Cloud & Deployment: Orchestrate scalable AI services and workflows in cloud environments. Your Skillset Were looking for an experienced AI/ML professional with strong expertise in LLM-powered systems. Technical Skills: 5+ years in AI/ML solution design and development, with hands-on LLM integration. Python Advanced proficiency for AI/ML development and orchestration. LLM Development Prompt engineering, chaining logic, context window management, API integration. Agent Frameworks Memory, planning, coordination, and decision-making in multi-agent systems. RAG Vector databases, embeddings, and retrieval-augmented knowledge systems. Cloud Deployment and management of AI services, preferably on Microsoft Azure. Good to Have Experience with PCF or React for building intelligent front-end components. Contributions to open-source AI frameworks or research. Certifications Preferred Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent. Why LevelShift? Work on cutting-edge LLM-based AI projects with global impact. Collaborate with experts in AI, ML, and cloud technologies. Grow your career in an innovation-driven, learning-focused environment. If youre ready to design and deliver intelligent AI/ML solutions, apply now at joinus@levelshift.com and take the next step in your Data Science career!