TL;DR
AI Engineer (Applied AI): Designing and implementing scalable AI systems and multi-agent workflows with an accent on reinforcement learning, LLM memory, and evaluation systems. Focus on building and iterating AI-driven workflows, driving experimentation, and fine-tuning models in production.
Location: Remote - North America (United States and Canada) with required overlap 8am to 12pm PT
Company
hirify.global builds AI-powered growth infrastructure for marketing teams, partnering with startups and industry leaders to transform content into measurable growth.
What you will do
- Design and implement end-to-end scalable AI systems including modeling, integration, and deployment.
- Improve multi-agent workflow systems involving task decomposition, intent modeling, and LLM memory.
- Build evaluation systems to measure agent performance offline and online to guide product decisions.
- Manage the full model lifecycle: data exploration, development, evaluation, launch, monitoring, and iteration.
- Collaborate closely with Engineering, Product, Design, and human-expert loops to improve quality.
- Explore and apply emerging AI research and techniques to the product roadmap.
Requirements
- Must have legal authorization to work in the country of residence (US or Canada) with no visa sponsorship available.
- 5+ years experience shipping ML/AI systems in production for large-scale, user-facing or data-driven products.
- Deep expertise in ML, NLP/LLMs, recommender systems, search, and ranking.
- Proficiency in Python and modern ML infrastructure including model serving and experiment tracking.
- Comfortable working in high-velocity, cross-functional product teams with ownership from idea to deployment.
- MS/PhD in a technical field or equivalent experience.
Nice to have
- Experience with multi-agent or workflow-based AI systems.
- Hands-on work with retrieval-augmented generation, prompt strategies, or knowledge-centric systems.
- Experience with reinforcement learning methods.
- Prior experience in search systems or AI development tooling.
Culture & Benefits
- Fully remote work with flexible environment setup and minimal meetings.
- Required overlap with 8am to 12pm PT for collaboration.
- Ample time off recognizing country holidays and encouraging recharge.
- Professional growth with access to AI training, workshops, mentorship, and conferences.
- Collaborative culture with open communication and feedback-driven environment.
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