D

AI Engineer

dynamism • United States
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Build production multimodal and agentic AI systems for insurance claims at a growth-stage enterprise software company. Design and integrate AI agents, models, tools, and supporting services with evaluation and observability. Requires strong Python engineering, LLM application patterns, and system design fundamentals.

Key Highlights
Applied AI with immediate production responsibility
Multimodal and agentic AI for insurance claims
On-site in San Francisco
$165K to $250K base plus competitive equity
Visa sponsorship available
Key Responsibilities
AI agents that reason across multiple data and media types
Model integration, orchestration, tools, and supporting services
Evaluation, observability, and reliable behavior in production
Connections to customer systems, APIs, and operational data
Fast experiments that become maintainable product capabilities
Continuous improvement based on real claims outcomes
Technical Skills Required
Python LLMs APIs
Benefits & Perks
Competitive equity
Nice to Have
Built multimodal AI or document-intelligence systems
Developed evaluation frameworks for LLM applications
Integrated models into enterprise production workflows
Worked directly with customers on technical deployments
Shipped quickly in a high-ownership startup environment

Job Description

AI Engineer (Full-Time | San Francisco | Multimodal and Agentic Systems)

At Dynamism, we partner with breakout startups backed by Sequoia, a16z, and Y Combinator to help them hire engineers with founder energy, people who build fast, think like owners, and thrive in zero-to-one environments.

We're hiring an AI Engineer for an enterprise software company applying multimodal and agentic AI to insurance claims. With more than $50M raised, the team is building production systems that reason across images, video, documents, calls, sensor data, policy knowledge, and structured operational information. The platform is already processing thousands of claims for major insurers and enterprise operators.

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