Full Stack Developer

Overview

Lead end-to-end development and deployment of full-stack AI applications, integrating LLMs and backend services with responsive frontends.

What you'll do

• Design, build, and deploy full-stack artificial intelligence applications.
• Integrate LLMs, local model pipelines, vector databases, and multi-agent orchestration frameworks (e.g., RAG) into production systems.
• Architect and optimize relational databases (PostgreSQL preferred) using advanced SQL features.
• Develop asynchronous Python backend services, RESTful APIs, and data ingestion pipelines.
• Build responsive UIs and real-time operational dashboards for human-AI interaction.
• Package and deploy applications using Docker and Kubernetes.
• Provision and optimize AWS resources and GPU environments for AI workloads.

What you'll need

• Advanced Python development experience.
• AWS cloud infrastructure experience.
• Enterprise Linux administration experience.
• Containerization expertise with Docker.
• Orchestration expertise with Kubernetes.
• Experience building and deploying modern AI solutions (multi-agent systems, RAG).
• Background in Lean Six Sigma and other quality tools.

Details

• PostgreSQL is preferred for relational database work.
• Cloud is primarily AWS.
• Uses Linux environments.