Doma Technology LLC is looking to transform how insurance and real estate decisions are made by developing production-grade generative AI systems, aiming to enhance operational efficiency, better assess risk, and improve underwriting accuracy.
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.
Responsibilities
- Design, build and deploy scalable LLM-based solutions, initially, targeting improved operation efficiency, that integrate external knowledge bases and APIs.
- Own the reliability and ongoing performance of LLM-powered applications, ensuring traceability, observability, and regulatory compliance.
- Fine-tune and adapt large language models (e.g., 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.
Other
- Autonomous Owner: You drive work forward with minimal oversight and strong attention to detail, proactively addressing challenges and targeting results.
- Curious: You investigate, test, and improve constantly—especially in Artificial Intelligence and Engineering domains.
- Clear communicator: You translate technical concepts across business, legal, and engineering teams.
- Product-oriented: You care about solving practical problems with measurable business value.
- 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.
