TL;DR
Ai Engineer New Grad (AI Engineering): Developing and advancing applied AI systems for the Poe product, including prompt engineering, retrieval-augmented generation, and agentic workflow optimization with an accent on LLM applications and scalable deployment. Focus on designing, optimizing, and deploying reliable AI systems and collaborating with product teams to identify new AI opportunities.
Location: Remote from multiple countries including United States and Canada
Salary: $107,360 - $152,900 USD (US candidates), CAD 131,409 - 160,415 (Canada candidates depending on city)
Company
hirify.global is a remote-first product company focused on AI-powered platforms including Quora and Poe, serving millions of users globally.
What you will do
- Work on a variety of AI engineering tasks such as prompt engineering, retrieval-augmented generation, and agentic workflow optimization.
- Identify and apply emerging AI capabilities to enhance the Poe product.
- Take end-to-end ownership of applied AI systems from prototyping to deployment at scale.
- Collaborate with product teams to uncover new AI-driven opportunities.
- Develop tools and abstractions for other developers to build upon.
Requirements
- Availability during Quora's coordination hours (Mon-Fri 9am-3pm Pacific Time)
- 2025 or Summer 2026 graduate or pursuing B.S., M.S., or Ph.D. in Computer Science, Engineering, or related field.
- Strong engineering skills in Python or TypeScript.
- Understanding of mathematical foundations of machine learning algorithms.
- Experience with LLM applications or transformer models.
- Passion for continuous learning and team improvement.
Nice to have
- Previous software engineering experience via internship, work, or coding competitions.
- Hands-on experience with LLM and prompt engineering.
- Passion for Poe and Quora’s mission.
Culture & Benefits
- Remote-first work environment with eligibility across multiple countries.
- Comprehensive benefits including medical, dental, vision, equity refreshers, and paid time off.
- Supportive culture rooted in transparency, idea-sharing, and experimentation.
- Opportunities for fast iteration and impact on product development.
Hiring process
- Ongoing application acceptance.
- Identity verification and comprehensive background check prior to onboarding.
- Use of AI technology to assist in sorting applications and interview notes, with all decisions made by team members.
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