Applied AI Engineer II - Generative AI
First seen by Alion on Sep 26, 2026.
Job Summary:
We are looking for an experienced Applied AI Engineer II with strong full-stack software engineering expertise and hands-on experience in Generative AI, LLMs, and agentic applications.
The ideal candidate will be responsible for designing, developing, integrating, testing, and deploying scalable full-stack products enhanced with modern AI capabilities.
Key Responsibilities:
- Design, develop, test, and deploy scalable full-stack applications.
- Build and integrate Generative AI, LLM, RAG, and agentic AI capabilities into applications.
- Develop and maintain frontend applications using Angular.
- Build backend services using .NET/C# or Python.
- Integrate cloud-native services and AI/ML capabilities across AWS/Azure environments.
- Work with LLM APIs, prompt engineering, vector databases, RAG pipelines, and AI agent orchestration.
- Develop production-ready APIs, microservices, and cloud-native applications.
- Apply software engineering best practices including OOP/OOD, design patterns, testing, CI/CD, and code quality.
Tech Stack & Skills:
- 6 - 9 years of overall software engineering experience.
- Strong hands-on experience with .NET/C# or Python, and Angular.
- Strong experience with AWS or Azure cloud-native development.
- Practical experience with LLM integration (OpenAI/Anthropic), RAG, Prompt Engineering, Vector Databases, and AI Agent orchestration.
- Proficiency in GitHub, CI/CD, DevSecOps, and SRE practices.
Education:
Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.
Skills
Generative AI, LLM, .Net, Python, Azure, LangChain, RAG, Prompt Engineering, Full Stack