AI Engineer — San Francisco, CA

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

At T3BcFr7h, 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.

This is applied AI with immediate production responsibility. You will design agents, integrate models, build supporting software, and improve outcomes using real customer feedback. Strong engineering fundamentals matter as much as familiarity with the latest models.

Location: San Francisco Mission office, on-site Monday through Friday

Comp Range: $165K to $250K base plus competitive equity

Stage: Growth stage, more than $50M raised

Stack: Python, LLMs, prompt engineering, APIs, multimodal and agentic AI

Customers: Major insurers and enterprise operators

What You'll Own

• 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

You Might Be a Fit If You…

• Are a strong Python engineer with production software experience

• Understand LLM application patterns, prompting, tools, and agents

• Have solid data structures, algorithms, and system design fundamentals

• Can investigate messy real-world failures and improve the full system

• Communicate clearly with technical and non-technical stakeholders

• Prefer applied problems with measurable outcomes over isolated research

Bonus If You've…

• 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

Visa: Open to transfers and new sponsorship for qualified candidates. Some customer-site travel is expected.