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 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. Proficiency in modern frameworks like React, Python, and LLM orchestration tools is essential.

Key skills

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

Keywords

Generative AI, LLM, RAG, Agentic AI, Full-Stack, Python, NodeJS, C#, .NET, Java, SQL, NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, Azure OpenAI, AWS Bedrock, Vertex AI, FinOps, DevSecOps, SRE, GitHub, SonarQube, MLflow, LangFuse, LangSmith, Micro-services, Infrastructure-as-Code, SSDLC