Artificial Intelligence Engineer
First seen by Alion on Sep 24, 2026.
Role Overview:
We are looking for an experienced Artificial Intelligence Engineer with strong hands-on expertise in Python, Machine Learning, LLMs, RAG, and Agentic AI systems. The role will involve designing, developing, integrating, and deploying AI-powered agents and LLM-based solutions for enterprise use cases.
Key Responsibilities:
- Design, develop, test, and deploy AI-powered agents and LLM-based applications for enterprise use cases.
- Build agentic systems with capabilities such as tool/function calling, prompt engineering, memory management, skill development, and workflow orchestration.
- Develop and integrate RAG-based solutions using enterprise data, knowledge sources, APIs, and other information repositories.
- Work with modern AI agent frameworks and cloud-based AI/LLM APIs to build scalable solutions.
- Integrate AI agents with enterprise applications, APIs, databases, and external services.
- Design and implement reliable agent orchestration workflows, including task routing, tool execution, context handling, and multi-step processing.
- Evaluate and optimize AI and agent performance through prompt tuning, testing, monitoring, evaluation, and continuous improvement.
- Develop Python-based automation and backend components supporting AI workflows and integrations.
- Ensure AI solutions meet enterprise requirements for security, scalability, reliability, performance, and maintainability.
- Collaborate with cross-functional teams to translate requirements into production-ready AI solutions.
- Support CI/CD, deployment, monitoring, troubleshooting, and production operations for AI applications.
Required Skills:
- 5 - 10 years of overall experience in software engineering, AI/ML, or related technology roles.
- 3+ years of hands-on experience with AI/ML/LLM-based solutions.
- Strong hands-on experience building Agentic AI systems and LLM-powered applications.
- Strong proficiency in Python.
- Experience with LLMs, RAG, embeddings, vector databases, and prompt engineering.
- Hands-on experience with at least one AI agent/agent orchestration framework.
- Experience integrating LLM APIs, cloud AI services, enterprise APIs, and external tools.
- Experience developing and integrating REST APIs and backend services.
- Familiarity with CI/CD and cloud environments.
Skills
Python, Machine Learning, LLM, Agentic AI, RAG, Prompt Engineering