Salary
💰 $150,000 - $240,000 per year
About the role
- 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
- Offers Equity
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonLLM frameworkLangchainLlamaIndexRAG applicationsexploratory data analysissoftware engineeringmodular codebasescomplex pipelines
Soft skills
self-starterproject ownershipleadershipmotivationadaptability