Applied AI Software Engineer III

Role responsibilities

Build and enhance high-visibility full-stack products by integrating Generative AI and agentic capabilities. Lead the end-to-end delivery of lean, scalable engineering solutions while managing cloud costs and technical architecture.

Requirements

Requires a bachelor's degree and 5+ years of full-stack experience, including 3+ years specifically in AI/ML and cloud-native engineering. Proficiency in modern frameworks, LLM orchestration, and DevSecOps methodologies is essential.

Key skills

Full-stack Software Engineering, Generative AI, Agentic AI, LLM Integration, RAG Pipelines, Prompt Engineering, Vector Databases, Cloud-native Engineering, Python, NodeJS, React, Angular, PyTorch, TensorFlow, LangChain, LangGraph

Keywords

Applied AI, GenAI, Agentic AI, Full-stack, LLM, RAG, Vector Databases, Azure OpenAI, AWS Bedrock, Vertex AI, FinOps, SSDLC, DevSecOps, SRE, LangFuse, LangSmith, GitHub, SonarQube, MLflow, Python, C#, .NET, Java, SQL, NoSQL, React, Angular, NodeJS, OOP, OOD