AI Engineer

Are you a passionate and enthusiastic AI professional looking to build your career in Generative AI, Large Language Models (LLMs), and intelligent automation? Join LevelShift as an AI Engineer , where you'll design AI-native solutions, build intelligent automation pipelines, and develop next-generation AI applications that solve real business problems. You'll collaborate with product teams, software engineers, data professionals, and business stakeholders to deliver scalable, secure, and production-ready AI solutions that accelerate digital transformation. What You'll Do As an AI Engineer at LevelShift , you will: Build intelligent pipelines utilizing Large Language Models (LLMs) for reasoning, document generation, summarization, content extraction, and task automation. Design and develop autonomous AI workflows where AI agents interact with tools, APIs, memory, external systems, and other agents to solve complex business problems using Prompt Engineering, Retrieval-Augmented Generation (RAG), and planning techniques. Analyze and modernize existing enterprise applications, rule-based systems, stored procedures, and legacy workflows into AI-native solutions capable of processing structured and unstructured data. Develop secure, scalable, and production-ready AI applications by integrating LLMs with enterprise systems, cloud platforms, databases, and business processes while following responsible AI and governance best practices. Collaborate with internal teams and customer-facing stakeholders to identify AI adoption opportunities, recommend innovative solutions, and continuously improve business processes through intelligent automation. How this role uses AI Utilize Generative AI throughout the software development lifecycle to accelerate development, automate repetitive engineering tasks, improve documentation, and enhance productivity. Leverage AI-powered tools for prompt optimization, code generation, workflow automation, testing, reasoning, and intelligent knowledge retrieval. Work with modern AI technologies such as Azure OpenAI, Microsoft Copilot, GitHub Copilot, LangChain, Semantic Kernel, vector databases, and AI agent frameworks to build enterprise-grade AI solutions. Your Skillset Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, Engineering, or a related field with 5 + years of experience in AI Engineering, Software Engineering, Machine Learning, or Generative AI. Strong hands-on experience building applications using Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI agent frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen. Proficiency in Python , REST APIs, cloud platforms (preferably Azure), and integrating AI services with enterprise applications, databases, and business systems. Good understanding of AI governance, responsible AI, model evaluation, security, structured and unstructured data processing, and modern AI application architectures. Excellent analytical, problem-solving, and communication skills with a passion for learning emerging AI technologies, collaborating in Agile teams, and delivering scalable AI-driven business solutions.