Applied AI Software Engineer III

Role responsibilities

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

Requirements

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

Key skills

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

Keywords

Applied AI, GenAI, Agentic AI, Full-stack, LLM, RAG, Azure OpenAI, AWS Bedrock, Vertex AI, FinOps, SSDLC, DevSecOps, SRE, GitHub, SonarQube, MLflow, LangFuse, LangSmith, Python, C#, .NET, Java, SQL, NoSQL, OOP, OOD, Lean, XP, Micro-services, FaaS