AI Engineer
First seen by Alion on Oct 7, 2026.
About the Role :
Are you a passionate and enthusiastic AI professional looking to build your career in Generative AI, Large Language Models (LLMs), and intelligent automation?
Join PreludeSys 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 :
- 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.
Tech Stack & Requirements :
- 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.
Skills
Artificial Intelligence, Generative AI, Python, LangChain, Azure, Agentic AI, Prompt Engineering, RESTful, LLM