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 scalable solutions while managing cloud costs and ensuring technical alignment with business goals.

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

Generative AI, LLM Integration, RAG Pipelines, Agentic AI, Full-Stack Software Engineering, 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, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, FinOps, SSDLC, DevSecOps, SRE, GitHub, SonarQube, MLflow, LangFuse, LangSmith, Python, C#, .NET, Java, SQL, NoSQL, PyTorch, TensorFlow, LangChain, LangGraph