Applied AI Engineer II - Generative AI

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.