Applied AI Researcher driving the adoption of AI and ML technologies at Infotree. Contributing to various AI/ML domains within the financial domain.
About the role
- Machine Learning Engineer developing AI detection tools for education and content integrity. Building AI agents and workflows in a fast-paced team environment.
Responsibilities
- Fine-tune and evaluate state-of-the-art language models
- Optimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelines
- Develop multi-agent workflows incorporating data from diverse sources using RAG
- Improve and iterate on AI agents using observability and experimentation tools
- Stay up-to-date with the latest literature and emerging technologies to solve novel problems
- Work closely with product and design teams to develop intuitive applications that create societal impact
Requirements
- 3+ YOE in Python
- 1+ YOE in LLM framework like Langchain or LlamaIndex
- 1+ YOE with agentic or RAG applications
- Strong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutions
- Experience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputs
- Excellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelines
- Self-starter (pitch, plan, and implement as a project owner in a fast-paced team)
- Highly motivated to make positive societal impact
- Ability to wear multiple hats and be a leader as our team grows
- Visa for work in Canada or US
Benefits
- Offers Equity
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