AI Engineer
HubSpot
AWSAzureCloudGoogle Cloud Platform
Salary
💰 $168,680 - $214,800 per year
Job Level
Lead
Tech Stack
CloudDockerPythonSQL
About the role
- Develop production-grade generative AI systems to transform insurance and real estate decisions
- Design, build and deploy scalable LLM-based solutions integrating external knowledge bases and APIs
- Own reliability and ongoing performance of LLM-powered applications, ensuring traceability, observability, and regulatory compliance
- Fine-tune and adapt large language models (GPT, Claude, LLaMA) to domain-specific tasks in real estate and insurance
- Collaborate with domain experts, data teams, and product managers to research and align on AI solutions that satisfy business needs and regulatory constraints.
Requirements
- 5+ years of experience building and shipping production-grade AI or ML systems, with a strong focus on LLMs and transformer models.
- Deep understanding of LLM internals (attention mechanisms, tokenization, fine-tuning techniques) and best practices around their use.
- Experience developing and deploying models in a cloud-based production environment following MLOps best practices, with proficiency in Python, SQL, Git, Docker.
- Enthusiasm about taking ownership of complex projects, including managing the requests coming from multiple stakeholders throughout the company
- Ability to manage stakeholders and communicate technical concepts to people throughout the company, including business partners in product and senior leadership.
