Klick Health

Applied AI Developer

Toronto, Ontario, Canada

Sponsorship not specified$100k-$120kDetected 69 days ago

PythonAWSGCPMachine LearningLLMsAccessibility5G/LTECollaborationPublic Speaking

About the role

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 relying on one-shot prompts. Coordinate agent teams, handle asynchronous jobs, and build checkpoints for human review at the right points.
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.

3+ years of experience building backend applications or internal tools in Python, including API integrations, state handling, and maintainable service design.
Hands-on experience integrating LLM APIs into an application, product, or internal tool, with evidence of shipping multi-step AI workflows beyond one-shot prompting.
Demonstrated experience evaluating AI output quality using methods such as blind testing, LLM-as-judge scoring, hallucination checks, or structured human review in a production or pilot setting.
Experience designing modular systems with clear inputs, outputs, and reusable components, supported by examples of deployed tools, automation pipelines, or shared internal services.
Ability to explain technical decisions to both technical and non-technical audiences, including presenting recommendations, tradeoffs, or results to internal stakeholders.

Comfort and enthusiasm for using AI as a regular part of how work gets done.
Experience working with multiple LLM providers, including Anthropic, OpenAI, and Google Vertex AI / Gemini, with clear examples of when and why different models were selected.
Experience deploying applications or services in Google Cloud or AWS, including production, staging, or internal-use environments.
Portfolio of AI projects, personal or professional, that demonstrates agentic workflows, tool-building, evaluation discipline, or applied product development.

Exposure to healthcare or pharma environments, including regulated, scientific, or complex domain contexts, is considered an asset.

Comfort and enthusiasm for using AI as a regular part of how work gets done.
Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore.

This listing is sourced directly from Klick Health's careers page and normalized into a canonical job model.