Found Description
We are hiring an Applied AI Developer to build production systems powered by Large Language Models. You will design and ship tools that automate internal workflows and support client-facing work. The role is backend-heavy: you will write Python, build agentic operations that chain model outputs together, and build the infrastructure around them.
This is not an ML role. No model training, no fine-tuning, no weights. You work with existing generative AI services and the tools they expose.
What You'll Do:
Build and maintain AI-backed tools. Take a problem through scoping, implementation, deployment, and ongoing iteration. Projects vary in scale from single-purpose automations to larger pipelines that support multiple teams.
Own deployed work. Tools that people actually use, measured by real usage and outcomes. You care what happens after launch, not just whether it ran once.
Design agentic workflows. Chain LLM calls into pipelines rather than r...
This is not an ML role. No model training, no fine-tuning, no weights. You work with existing generative AI services and the tools they expose.
What You'll Do:
Build and maintain AI-backed tools. Take a problem through scoping, implementation, deployment, and ongoing iteration. Projects vary in scale from single-purpose automations to larger pipelines that support multiple teams.
Own deployed work. Tools that people actually use, measured by real usage and outcomes. You care what happens after launch, not just whether it ran once.
Design agentic workflows. Chain LLM calls into pipelines rather than r...