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About the Role
Join a growing engineering function deploying multimodal, agentic AI systems into production for insurance claims workflows. You will own customer deployments from initial scoping through go-live, while shaping the product with insights from real-world use.
Responsibilities
- Lead customer deployments end-to-end and serve as the primary technical contact for senior stakeholders.
- Build trusted customer relationships, understand business challenges, and align priorities for AI adoption.
- Design, build, and iterate on AI agents using prompt engineering, model integrations, and rapid prototyping.
- Scope and develop product features that help customers scale and improve claims outcomes.
- Integrate the platform into customer environments by working directly with technical teams on APIs and systems.
- Coordinate with the core platform team and share deployment insights and best practices through internal playbooks.
Requirements
- At least 2 years in forward-deployed, customer-facing, founding, or software engineering work with substantial customer interaction.
- Hands-on experience with Python, APIs, cloud platforms, LLMs, prompt engineering, and agentic AI systems.
- Experience using AI-assisted development workflows in day-to-day engineering work.
- Ability to build and manage customer relationships, own deployments, and communicate effectively with senior stakeholders.
- Experience integrating third-party systems and working directly with customer technical teams; insurance or claims technology experience is relevant.
Skills
- Python
- APIs
- Cloud platforms
- LLMs
- Prompt engineering
- Agentic AI systems
- AI-assisted development workflows
- Customer relationship management
- Deployment ownership
- Stakeholder communication
- Third-party system integration
Location
- San Francisco, California
Work Type
- On-site
Experience Level
- 2+ years
Salary/Compensations
- $165,000 to $250,000 annually
Benefits
- Visa sponsorship is available.